I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: Black Forest Labs
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- verified_benefits_only: true
- apply_url_verified: false
- page: 1
- per_page: 100
- sort: relevance

Jobs (100 total):

---
TITLE: Material Planning Manager
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Material-Planning-Manager_31153317-1
EXCERPT: Material Planning Manager United States - Illinois - Lake Forest posted: Posted Yesterday
---
TITLE: Commercial Counsel
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Commercial-Counsel_31145936-1
EXCERPT: Commercial Counsel United States - Illinois - Lake Forest posted: Posted 3 Days Ago
---
TITLE: Financial Supervisor
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Financial-Supervisor_31152704-1
EXCERPT: Financial Supervisor United States - Illinois - Lake Forest posted: Posted 4 Days Ago
---
TITLE: Program Operations Manager - Sentinel (Forest, MS)
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-431--19859-Hwy-80--BLDG-431/Program-Operations-Manager---Sentinel--Forest--MS-_01842465
EXCERPT: Program Operations Manager - Sentinel (Forest, MS) US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 posted: Posted 30+ Days Ago
---
TITLE: SkillBridge Intern DoD: Information System Security Officer - Forest, MS
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-425 ~ 19859 Hwy 80 ~ BLDG 425 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-425--19859-Hwy-80--BLDG-425/SkillBridge-Intern-DoD--Information-System-Security-Officer---Forest--MS_01843882
EXCERPT: SkillBridge Intern DoD: Information System Security Officer - Forest, MS US-MS-FOREST-425 ~ 19859 Hwy 80 ~ BLDG 425 posted: Posted 30+ Days Ago
---
TITLE: Lead Technical Security - Forest, MS
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-431--19859-Hwy-80--BLDG-431/Lead-Technical-Security---Forest--MS_01848605
EXCERPT: Lead Technical Security - Forest, MS US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 posted: Posted 15 Days Ago
---
TITLE: Quality Engineer II, onsite Forest, MS
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 (onsite)
SALARY: Not disclosed
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-430--19859-Hwy-80--BLDG-430/Quality-Engineer-II--onsite-Forest--MS_01842430
EXCERPT: Quality Engineer II, onsite Forest, MS US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 posted: Posted 8 Days Ago
---
TITLE: Network Engineer, onsite Forest MS
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 (onsite)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-430--19859-Hwy-80--BLDG-430/Network-Engineer--onsite-Forest-MS_01842372
EXCERPT: Network Engineer, onsite Forest MS US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 posted: Posted 30+ Days Ago
---
TITLE: AFCO Direct Operations Specialist
EMPLOYER: Truist Financial Corporation
LOCATION: Lake Forest, IL (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://truist.wd1.myworkdayjobs.com/Careers/job/Lake-Forest-IL/AFCO-Direct-Operations-Specialist_R0115553-1
EXCERPT: AFCO Direct Operations Specialist Lake Forest, IL posted: Posted 3 Days Ago
---
TITLE: Senior Data Cloud Blackbelt Manager, Data and AI
EMPLOYER: Google
LOCATION: Sunnyvale, CA, USA (unspecified)
SALARY: $233K-$325K
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckR7P69NsgCtTvuVu6K-ot5LN1g_paKIS1ou7ecohBf5aEjsACxwdTFtvqGeuZMLQSndCJ0r-kTKFF_xYL8Mnf0hPuU5nlyWp9fEu_Ojg8H1Bf3aqV4DXjsKWaccLbg%3D%3D_V2&loc=US&title=Senior+Data+Cloud+Blackbelt+Manager
EXCERPT: Senior Data Cloud Blackbelt Manager, Data and AI Sunnyvale, CA, USA We are a specialized product incubation engine dedicated to accelerating product market fit for our unified data cloud and AI capabilities. Tasked with bridging the gap between our powerful platform primitives and the cohesive, high value solutions enterprises demand, this group operates as a customer zero laboratory. In this role, you will lead our new team at the forefront of using Google's generative AI to solve real world issues for our most customers. You will act as a partner with key accounts, working to build, deploy, and optimize sophisticated AI agents on our data cloud services. You will bridge the gap between our core product engineering teams and complex customer needs. You will accelerate product innovation, customer success, disrupt the traditional Software Development Life Cycle (SDLC), and shape the future of our data and AI products.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $233000 - $325000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Serve as the principal architect for the team's portfolio. Set the engineering standards,
---
TITLE: CA District Support Pharmacist
EMPLOYER: CVS Health Corporation
LOCATION: CA - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/CA---Lake-Forest/CA-District-Support-Pharmacist_R0909261
EXCERPT: CA District Support Pharmacist CA - Lake Forest posted: Posted 30+ Days Ago
---
TITLE: Equipment Associate - ROS
EMPLOYER: United Rentals, Inc.
LOCATION: Forest Park, GA, USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 2 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 2 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ur.wd1.myworkdayjobs.com/URcareers/job/Forest-Park-GA-USA/Equipment-Associate---ROS_94627
EXCERPT: Equipment Associate - ROS Forest Park, GA, USA posted: Posted 30+ Days Ago
---
TITLE: Software Development Manager - Compiler, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $213K-$288K
POSTED: 2025-10-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3107270/software-development-manager-compiler-aws-neuron-annapurna-labs
EXCERPT: Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, Neuron Kernel Interface (NKI) compiler, and runtime that natively integrates into popular ML frameworks, such as PyTorch and TensorFlow. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trn/Inf instances. You can use NKI to develop, optimize and run new operators directly on NeuronCores while making full use of available compute and memory resources. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and
---
TITLE: Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $185K-$250K
POSTED: 2025-12-10
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3140960/software-development-manager-ml-accelerators-aws-neuron-annapurna-labs
EXCERPT: Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs Seattle, Washington, USA AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow. AWS Neuron is widely adopted by many internal and external customers and partners. Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success We are seeking an exceptional Software Engineering Manager to lead portion of our Deep-Learning Backend Compiler team at AWS Neuron. You will manage a team of talented compiler engineers focused on machine learning compiler design and development. In this role, you will drive the design and implementation of ML compiler solutions, develop advanced optimization techniques, lead hardware bring-up for next-generation chips, and influence pre-silicon design decisions while mentoring your team. This position offers the opportunity to directly impact AWS's machine learning infrastructure and accelerate the delivery of innovative
---
TITLE: Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $137K-$185K
POSTED: 2026-03-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10378152/sr-lab-engineer-annapurnna-labs-machine-learning-hardware
EXCERPT: Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within AWS) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Key job responsibilities As a member of the Machine Learning Acceleration team, you'll manage the organization's lab activities and develop solutions to improve lab automation. You will support the Hardware and Software Engineering teams with lab setup and maintenance, as well as work with external / internal groups in the organization, including vendors for lab equipment. In this role, you will provide technical support for product development projects in the Machine learning lab including AWS Server integration and maintenance. We are looking for candidates who thrive in a fast-paced, start-up like environment, and who can work independently to deliver multiple projects in parallel across multiple sites. To be successful you need to be hands-on, highly motivated and detailed oriented while meeting the highest standards, time to market, cost and quality goals. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your
---
TITLE: Sr. Software Development Manager - Performance and Tooling, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $220K-$298K
POSTED: 2026-05-21
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10427413/sr-software-development-manager-performance-and-tooling-aws-neuron-annapurna-labs
EXCERPT: Sr. Software Development Manager - Performance and Tooling, AWS Neuron, Annapurna Labs Seattle, Washington, USA The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning culture. Learn more about Our History: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success You: As a Manager III on the AWS Neuron team, you'll be leading a team of compiler engineers through developing, deploying, and scaling a compiler targeting AWS Inferentia and Trainium. You'll need to be technically capable, credible and curious in your own right as a trusted AWS Neuron Manager, innovating on behalf of our customers. You'll leverage your vision and technical communication skills as a hands-on partner to AWS ML services teams, to be involved in pre-silicon design, bring new products/optimizations/features to market, and many other exciting projects to ensure the Neuron SDK exceeds our customers' needs of high performance, low cost, and ease of use. You will have deep knowledge of resource management, scheduling, code generation, optimization, and new
---
TITLE: Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 171K-286K
POSTED: 2025-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3006845/software-development-manager-ml-performance-tooling-and-benchmarking-aws-neuron-annapurna-labs
EXCERPT: Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a
---
TITLE: Software Development Manager, Neuron Tools, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $185K-$250K
POSTED: 2026-01-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3167861/software-development-manager-neuron-tools-annapurna-labs
EXCERPT: Software Development Manager, Neuron Tools, Annapurna Labs Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Manager for the Tools Team, you will be responsible for leading a talented team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will oversee the design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. In this role, you will manage the full development life cycle of the Neuron Profiler/Tools toolchain, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, TensorFlow, and XLA. A successful candidate will have an established background in building AI/ML and performance analysis tools. Experience with ML-specific profiler tools (like PyTorch Profiler or TensorFlow Profiler) is highly desirable, along with along with direct customer-facing experience and a strong motivation to achieve results. A day in the life day in the life You will work with the executive
---
TITLE: Universal Banker- Forest Hill
EMPLOYER: Truist Financial Corporation
LOCATION: Forest Hill, MD (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-26
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://truist.wd1.myworkdayjobs.com/Careers/job/Forest-Hill-MD/Universal-Banker--Forest-Hill_R0114290
EXCERPT: Universal Banker- Forest Hill Forest Hill, MD posted: Posted 17 Days Ago
---
TITLE: Universal Banker - Brunswick Forest
EMPLOYER: Truist Financial Corporation
LOCATION: Leland, NC (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://truist.wd1.myworkdayjobs.com/Careers/job/Leland-NC/Universal-Banker---Brunswick-Forest_R0115347
EXCERPT: Universal Banker - Brunswick Forest Leland, NC posted: Posted 8 Days Ago
---
TITLE: Universal Banker Forest Drive
EMPLOYER: Truist Financial Corporation
LOCATION: Columbia, SC (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://truist.wd1.myworkdayjobs.com/Careers/job/Columbia-SC/Universal-Banker-Forest-Drive_R0115535-1
EXCERPT: Universal Banker Forest Drive Columbia, SC posted: Posted 2 Days Ago
---
TITLE: Lab Buildout and Operations Manager, Integration & Test, Amazon Leo
EMPLOYER: Amazon
LOCATION: Redmond, Washington, USA (unspecified)
SALARY: $117K-$160K
POSTED: 2026-06-03
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10438123/lab-buildout-and-operations-manager-integration-test-amazon-leo
EXCERPT: Lab Buildout and Operations Manager, Integration & Test, Amazon Leo Redmond, Washington, USA We are looking for a hands-on Lab Buildout and Operations Manager to own the deployment, readiness, and sustained operation of RF, networking, and system-integration lab environments. This role will manage lab infrastructure buildouts across Austin, San Diego, and Seattle, ensuring labs are built, instrumented, networked, documented, and operationally ready for engineering use. The ideal candidate has a strong mix of lab operations, RF test infrastructure, networking, procurement, vendor management, and hands-on systems experience. This person should be comfortable working across engineering, facilities, procurement, vendors, and site leadership to turn unclear lab requirements into executable build plans. Key Responsibilities Lab Buildout and Site Readiness - Own end-to-end lab buildout execution for RF and system-integration environments across Austin, San Diego, and Seattle. - Coordinate deployment of racks, benches, chambers, RF infrastructure, test equipment, control stations, cabling, power, grounding, cooling, and secure lab network access. - Drive readiness for RF test areas, integrated system test beds, hardware-in-the-loop environments, and production-representative lab setups. - Partner with Facilities, Networking, Security, Hardware, RF, Software, and Test teams to ensure lab spaces are usable, safe, scalable, and -operationally reliable. - Maintain lab bring-up schedules, punch lists, dependency trackers, and operational readiness checklists. RF, Network, and Test Infrastructure Operations - Support RF lab environments including chambers, antennas, attenuators, channel emulators, spectrum analyzers, signal generators, RF cabling, timing sources, and related instrumentation. - Support lab network design and operations, including VLANs, routing, switching, firewall access, remote
---
TITLE: Senior Applied Scientist, ASCS AI Lab Team
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2025-12-17
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3144920/senior-applied-scientist-ascs-ai-lab-team
EXCERPT: Senior Applied Scientist, ASCS AI Lab Team Seattle, Washington, USA We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences. Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation. Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store. Key job responsibilities - Design and implement novel AI solutions for Amazon catalog of products - Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models - Build and deploy autonomous AI Agents in Amazon production ecosystem - Scale AI models to handle billions of diverse products across multiple languages and geographies - Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models,
---
TITLE: Applied Scientist, Edge AI and Science
EMPLOYER: Amazon
LOCATION: Cambridge, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10442934/applied-scientist-edge-ai-and-science
EXCERPT: Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,
---
TITLE: Principal Research Scientist I - Bio CMC Developability Modeling
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013561446-principal-research-scientist-i-bio-cmc-developability-modeling
EXCERPT: Principal Research Scientist I - Bio CMC Developability Modeling North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Overview The Development Sciences Biologics Drug Product Development organization within AbbVie develops and characterizes drug product formulations and manufacturing processes to provide clinical dosage forms to enable the development of AbbVie's pipeline. AbbVie is seeking a highly motivated person to join the Biologics CMC Developability Team. Our team utilizes start-of-the-art biophysical and analytical instrumentation to assess candidates coming out of the Discovery pipeline. We collaboratively influence protein design paradigms to yield biologic candidates that will be successful drug products. Key to our success is developing models of protein structure and function to augment decision making in protein design and development. We utilize high throughput instrumentation and digital data systems to capture ML-ready data on industry leading datasets of therapeutic proteins. To drive maximum benefit from this data, we are seeking an experienced scientist to lead modeling efforts within our team. The successful candidate will bring deep experience of modeling protein stability or related properties
---
TITLE: Sr. SDM, AI Inference Technology, Neuron SDK
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $253K-$342K
POSTED: 2025-06-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3009701/sr-sdm-ai-inference-technology-neuron-sdk
EXCERPT: Sr. SDM, AI Inference Technology, Neuron SDK Seattle, Washington, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. Come develop inference acceleration for AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators that power the latest AI models As the Sr. SDM for the Inference Technology Team, you will lead a strong team of managers and engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. You will be responsible for the full development life cycle of inference library and feature development, including reliability and scalability. You will develop the Neuronx_Distributed Inference Libraries and contribute to other popular open source Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in delivering AI feature support for demanding, fast-changing priorities or delivering high-performance models using distributed inference libraries. The ideal candidate should have a strong technical ability to understand and manage a vertically integrated system stack that consisting of hardware, frameworks, and workflows. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions, developing the full stack of software, servers and
---
TITLE: Applied Scientist
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-03-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10372619/applied-scientist
EXCERPT: Applied Scientist Seattle, Washington, USA At Amazon Selection and Catalog Systems (ASCS), our mission is to power the online buying experience for customers worldwide so they can find, discover, and buy any product they want. We innovate on behalf of our customers to ensure uniqueness and consistency of product identity and to infer relationships between products in Amazon Catalog to drive the selection gateway for the search and browse experiences on the website. We're solving a fundamental AI challenge: establishing product identity and relationships at unprecedented scale. Using Generative AI, Visual Language Models (VLMs), and multimodal reasoning, we determine what makes each product unique and how products relate to one another across Amazon's catalog. The scale is staggering: billions of products, petabytes of multimodal data, millions of sellers, dozens of languages, and infinite product diversity-from electronics to groceries to digital content. The research challenges are immense. GenAI and VLMs hold transformative promise for catalog understanding, but we operate where traditional methods fail: ambiguous problem spaces, incomplete and noisy data, inherent uncertainty, reasoning across both images and textual data, and explaining decisions at scale. Establishing product identities and groupings requires sophisticated models that reason across text, images, and structured data-while maintaining accuracy and trust for high-stakes business decisions affecting millions of customers daily. Amazon's Item and Relationship Platform group is looking for an innovative and customer-focused applied scientist to help us make the world's best product catalog even better. In this role, you will partner with technology and business leaders to
---
TITLE: Software Dev Engineer, Cradle (Accuro)
EMPLOYER: Amazon
LOCATION: Detroit, Michigan, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10436224/software-dev-engineer-cradle-accuro
EXCERPT: Software Dev Engineer, Cradle (Accuro) Detroit, Michigan, USA Build exabyte-scale data processing engines with leading-edge technology. If you want to work with Spark, Java, Scala, Python, Flink, Beam, and AWS services (EMR, EKS, Kinesis, DynamoDB, SQS) - processing and transforming data across Amazon's data lakes - this is the role for you. About the Team The BDT team builds the platform that connects millions of businesses to hundreds of millions of customers across Amazon's global marketplaces. We enable native SQL, machine learning, and functional transformations using Apache Spark - executing batch, ML, and streaming workloads over schema'd data in S3, and writing curated datasets to front-end caches (DynamoDB, Redis, ElasticSearch). Our platform lets customers transition seamlessly between Streaming, Batch, Cache, and Analytics to meet demand at Amazon scale. We are a team that relentlessly innovates, keeps customers at the center, and delivers results with velocity while continuously raising the bar. What We're Looking For • Background in distributed systems development • Solid technical ability and passion for building at scale • Good communication skills and a bias for action Motivation to deliver results in a fast-paced, high-impact environment Key job responsibilities • Design & Delivery - Lead the design and delivery of major features and re-architecture of significant technology components • Quality & Operational Excellence - Ensure software maintains a high bar for quality, security, architecture, and operational excellence • Problem Solving - Identify root causes of widespread issues - including those limiting innovation and delivery velocity - across systems
---
TITLE: Applied Science Manager III, RBKS AI
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 223K-372K
POSTED: 2025-11-21
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3130707/applied-science-manager-iii-rbks-ai
EXCERPT: Applied Science Manager III, RBKS AI Toronto, Ontario, CAN The RBKS AI team is responsible for innovating AI features for Ring and Blink cameras, with a mission to make our neighborhoods safer. We are working at the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking Applied Science Manager to lead initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to lead a world-class team while shaping next-generation home security technology and advancing the field of AI algorithms and systems. The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience. Key job responsibilities - Lead and guide a team of applied scientists in designing and developing advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding - Drive technical strategy and roadmap for privacy-preserving CV and GenAI models and systems, ensuring the team delivers efficient fine-tuning and on-device and in-cloud inference solutions - Partner with product and engineering leadership to translate business objectives into technical roadmaps, and ensure delivery of high-quality science artifacts that ship to products - Build and maintain strategic partnerships with science, engineering, product, and program management
---
TITLE: Sr Manager, Applied Science, Alexa for Shopping (Rufus)
EMPLOYER: Amazon
LOCATION: Palo Alto, California, USA (unspecified)
SALARY: $252K-$340K
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10436265/sr-manager-applied-science-alexa-for-shopping-rufus
EXCERPT: Sr Manager, Applied Science, Alexa for Shopping (Rufus) Palo Alto, California, USA Alexa for Shopping (previously Rufus) is seeking a Senior Manager, Applied Science to lead multidisciplinary teams of Applied Scientists and Machine Learning Engineers building next-generation conversational AI and multi-agent systems powering customer-facing experiences at scale. This leader will drive both scientific innovation and execution across large language models (LLMs), agent orchestration, retrieval and grounding systems, evaluation frameworks, and scalable AI infrastructure. The role requires a combination of deep technical judgment, organizational leadership, product and engineering partnership, and operational excellence. The ideal candidate has a strong track record of building high-performing science and engineering teams, translating ambiguous business problems into scalable AI solutions, and delivering measurable customer impact through applied machine learning and generative AI technologies. Key job responsibilities - Lead and grow teams of Applied Scientists and Machine Learning Engineers working on conversational AI and multi-agent orchestration systems. - Define and drive technical strategy for large-scale generative AI systems, including LLM routing, prompting, grounding, memory, tool use, personalization, and response optimization. - Partner closely with Product, Engineering, and Tech leadership to align AI investments with long-term business and customer goals. - Drive end-to-end delivery of production AI systems balancing quality, latency, scalability, safety, and operational reliability. - Establish scientific and engineering best practices across experimentation, evaluation, model iteration, and production deployment. - Lead roadmap prioritization and execution across research innovation and product delivery timelines. - Build scalable evaluation methodologies and quality frameworks for multilingual and global customer experiences.
---
TITLE: Senior Contract Administrator
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Senior-Contract-Administrator_31147598-1
EXCERPT: Senior Contract Administrator United States - Illinois - Lake Forest posted: Posted 30+ Days Ago
---
TITLE: Software Dev Manager, Device Troubleshooting, Logs
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10409443/software-dev-manager-device-troubleshooting-logs
EXCERPT: Software Dev Manager, Device Troubleshooting, Logs Bengaluru, Karnataka, IND The Amazon Device Logging team builds services that allow us to collect and analyze logs from all Amazon Devices - Echo, Fire TV, Tablets, and Kindle. We are building the next generation of AI-powered agentic capability to automatically detect, diagnose, root cause, and auto-remediate bugs at scale. As the Software Development Manager (SDM), you will lead the software engineering team that owns cloud services, device-side libraries, and AI agents. You will operate as a Single Threaded Owner (STO) and will own the engineering roadmap for the team, working cross-functionally with other engineering leaders and product managers. You will be responsible for hiring and career development of software engineers and quality assurance engineers. You will set the technical direction for the team to build highly performant, scalable, and extensible software applications and services. You will establish a team culture that focuses on engineering and operational excellence. You will set and shepherd the Agile/Scrum environment to deliver high-quality software against aggressive schedules. As a technical leader, you will also establish architectural principles, provide input into selecting design patterns, and mentor team members on their appropriate application. Lastly, we're looking for customer experience-minded entrepreneurs who are passionate about innovating on behalf of customers, demonstrate a high degree of technical product ownership, and want to have fun while making history. It is still Day 1 in the Devices business, and we need a creative problem-solver with exceptional judgment and the ability to deliver business results
---
TITLE: Senior Computer Vision and Machine Learning Research Scientist
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $160K-$256K
POSTED: 2025-12-16
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7563078003
EXCERPT: Senior Computer Vision and Machine Learning Research Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company's mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you're excited about this
---
TITLE: IT Business Relationship Manager
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/IT-Business-Relationship-Manager_31152558-1
EXCERPT: IT Business Relationship Manager United States - Illinois - Lake Forest posted: Posted 4 Days Ago
---
TITLE: Senior Auditor Clinical Affairs
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Senior-Auditor-Clinical-Affairs_31152392-1
EXCERPT: Senior Auditor Clinical Affairs United States - Illinois - Lake Forest posted: Posted Yesterday
---
TITLE: Senior Applied Science Manager, Traffic Quality
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-30
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10378763/senior-applied-science-manager-traffic-quality
EXCERPT: Senior Applied Science Manager, Traffic Quality Bengaluru, Karnataka, IND Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publisher networks, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces. Within Amazon Ads, Traffic Quality is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced capabilities that work at petabyte scale to detect sophisticated invalid traffic (IVT) which includes sophisticated non-human traffic, bot networks, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions of ad events daily, developing novel algorithms that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless user experience. Key job responsibilities Strategic Leadership & Vision - Define long-term science vision for Traffic Quality driven by advertiser and publisher needs, translating direction into actionable team plans. - Lead teams solving strategically important business problems independently, delivering robust, scalable scientific
---
TITLE: Subsea Trees - Project Lead Engineer (M/F/D)
EMPLOYER: Baker Hughes
LOCATION: PL-PDK-WARSAW-ALEJA KRAKOWSKA 110/114 BLD 3014613 (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/PL-PDK-WARSAW-ALEJA-KRAKOWSKA-110114-BLD-3014613/Subsea-Trees---Project-Lead-Engineer_R162452-1
EXCERPT: Subsea Trees - Project Lead Engineer (M/F/D) PL-PDK-WARSAW-ALEJA KRAKOWSKA 110/114 BLD 3014613 posted: Posted Today
---
TITLE: Senior Quality Auditor
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-15
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Senior-Quality-Auditor_31149632-2
EXCERPT: Senior Quality Auditor United States - Illinois - Lake Forest posted: Posted 28 Days Ago
---
TITLE: Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 214K-358K
POSTED: 2026-02-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3175108/sr-software-development-manager-compiler-aws-neuron-annapurna-labs
EXCERPT: Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning
---
TITLE: Sales Effectiveness Analyst
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Sales-Effectiveness-Analyst_31152991-1
EXCERPT: Sales Effectiveness Analyst United States - Illinois - Lake Forest posted: Posted 2 Days Ago
---
TITLE: Senior Computer Vision and Machine Learning Research Scientist
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $160K-$256K
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7761541003
EXCERPT: Senior Computer Vision and Machine Learning Research Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company's mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you're excited about this
---
TITLE: Contracts Manager, US
EMPLOYER: Abbott Laboratories
LOCATION: United States > Lake Forest : J55 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States--Lake-Forest--J55/Contracts-Manager--US_31143534-1
EXCERPT: Contracts Manager, US United States > Lake Forest : J55 posted: Posted 30+ Days Ago
---
TITLE: Applied Scientist II, Console Science
EMPLOYER: Amazon
LOCATION: Santa Clara, California, USA (unspecified)
SALARY: $172K-$222K
POSTED: 2026-03-23
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10373514/applied-scientist-ii-console-science
EXCERPT: Applied Scientist II, Console Science Santa Clara, California, USA We are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). You will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon's heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding. We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI. A day in the life The team uses generative AI and foundation models to reimagine the experience of all customers on AWS. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you. We are open to hiring candidates to work out of one of the following locations: Santa Clara, CA, USA About the team AWS Utility Computing (UC) provides
---
TITLE: Manager Sales Training
EMPLOYER: Abbott Laboratories
LOCATION: United States > Lake Forest : J55 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-27
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States--Lake-Forest--J55/Manager-Sales-Training_31147018-2
EXCERPT: Manager Sales Training United States > Lake Forest : J55 posted: Posted 16 Days Ago
---
TITLE: Software Development Engineer, Neuron Collectives, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-04-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10407388/software-development-engineer-neuron-collectives-annapurna-labs
EXCERPT: Software Development Engineer, Neuron Collectives, Annapurna Labs Cupertino, California, USA Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the frontier AI models being trained today. Collectives are the critical operations that scale AI compute across the data center. You'll work in depth to optimize compute for the specific topologies used to train modern LLMs. Working closely with the hardware team, you'll push for maximum performance using C/C++, interfacing with DMA and firmware and investigating detailed topologies. You'll analyze current collective algorithms using publicly accessible tools like Neuron Explorer and optimize these to fully utilize compute and bus bandwidth to scale across the data center. This is a unique opportunity to impact how AI training runs at AWS scale, while growing your technical breadth and depth. Key job responsibilities As a Neuron Collectives Software Developer, you will: * Enhance collective algorithms and topologies for optimal training performance * Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization * Monitor and analyze processor, DMA, firmware, and workload metrics * Optimize collective operations to scale AI compute across the data center * Work closely with the hardware team to co-optimize software and Trainium silicon
---
TITLE: Outside Sales Rep - ROS
EMPLOYER: United Rentals, Inc.
LOCATION: Forest Park, GA, USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 2 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 2 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ur.wd1.myworkdayjobs.com/URcareers/job/Forest-Park-GA-USA/Outside-Sales-Rep---ROS_92661
EXCERPT: Outside Sales Rep - ROS Forest Park, GA, USA posted: Posted 30+ Days Ago
---
TITLE: Applied Scientist, Support Products & Services
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-02-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3180314/applied-scientist-support-products-services
EXCERPT: Applied Scientist, Support Products & Services Seattle, Washington, USA Are you inspired by the power of Large Language Models (LLM) to transform the way we interact with technology? Are you fascinated by the use of Generative AI to build an advertiser facing solution that predict problems and coach users while they solve real word problems? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the customer service space? If so, Amazon Advertising's Support Product & Services (SP&S) team has an exciting opportunity for you as an Applied Scientist. Key job responsibilities • Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the advertising support center domain. • Use Transformers and apply other NLP techniques like Sentence embeddings, Dimensionality reduction, clustering and topic modeling to identify customer intents and utterances. • Use services like AWS Lex, AWS Bedrock etc. to develop advertising facing solutions • Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful solutions. • Automating feedback loops for algorithms in production. • Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them. • Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences. A day in the life You will work closely with a cross functional team of Software Engineers, Product Owners, Data Scientists,
---
TITLE: Senior Manager, Commercial Excellence
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Senior-Manager--Commerial-Excellence_31152220
EXCERPT: Senior Manager, Commercial Excellence United States - Illinois - Lake Forest posted: Posted 8 Days Ago
---
TITLE: Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $255K-$345K
POSTED: 2026-02-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3172291/member-of-technical-staff-multimodal-reasoning-applied-science-agi-autonomy
EXCERPT: Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done
---
TITLE: Peritoneal Dialysis Registered Nurse
EMPLOYER: DaVita
LOCATION: 12850 - Forest Park St Louis At Home (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/12850---Forest-Park-St-Louis-At-Home/Registered-Nurse_R0455345
EXCERPT: Peritoneal Dialysis Registered Nurse 12850 - Forest Park St Louis At Home posted: Posted 24 Days Ago
---
TITLE: Applied Scientist , Rufus Experience Science
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10433777/applied-scientist-rufus-experience-science
EXCERPT: Applied Scientist , Rufus Experience Science Seattle, Washington, USA Amazon Rufus Experience Science is seeking a highly motivated Scientist who is passionate about building next-generation shopping experiences. In this role, you will help create conversational shopping journeys where customers can express any shopping need-discovering products, comparing options, finding inspiration, or resolving post-purchase issues. You will collaborate closely with a multidisciplinary team of scientists, engineers, product managers, and designers to deliver these experiences across multiple Rufus customer-facing features. You will thrive in this role if you enjoy bringing latest research into everyday life-both for customers and for yourself. There's nothing quite like realizing that a model you deployed yesterday is already improving your own shopping experience today. You will work side by side with scientists and engineers in a fast-paced environment, driving rapid model development and experimentation. You'll also have access to Amazon's rich datasets, AWS's massive computational resources, and a network of world-class science and engineering leaders across the company. Key job responsibilities Execute the science vision and roadmap. Develop data-driven solutions for the real-world, large scale problems. Deliver and maintain software and models in the production environment. Collaborate cross-functionally between product, design, and engineering. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in state-of-the-art deep
---
TITLE: Global Marketing Communications Sr Specialist
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Global-Marketing-Communications-Sr-Specialist_31150735-1
EXCERPT: Global Marketing Communications Sr Specialist United States - Illinois - Lake Forest posted: Posted 10 Days Ago
---
TITLE: Senior Computational Biologist, Special Projects
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2026-04-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10406642/senior-computational-biologist-special-projects
EXCERPT: Senior Computational Biologist, Special Projects Seattle, Washington, USA Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the limits. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. As a Senior Computational Scientist on our team, you will develop advanced computational methods to analyze complex, multi-modal datasets. You'll work with large-scale structured and unstructured data sources to build predictive models and uncover actionable insights. Our team rewards curiosity while maintaining a laser-focus on bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial environment. Key job responsibilities We're seeking an experienced Computational Scientist to develop innovative solutions for complex data challenges. In this role, you will design end-to-end computational pipelines to process and analyze multi-modal data. You'll develop algorithms that integrate diverse information sources to generate predictions and actionable insights. Building interpretable models that reveal underlying mechanisms and patterns will be central to your work. You'll collaborate with machine learning scientists and domain experts to ensure your approaches are both technically rigorous and practically impactful. You'll work with large-scale proprietary databases and scientific literature to identify meaningful signals. Establishing best practices for data integration, quality assessment, and validation will be important aspects of your role. You'll need deep expertise in computational methods and the ability to communicate complex concepts to diverse
---
TITLE: Senior Manager, Commercial Sales Training
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Senior-Manager--Commercial-Sales-Training_31150152
EXCERPT: Senior Manager, Commercial Sales Training United States - Illinois - Lake Forest posted: Posted 7 Days Ago
---
TITLE: Senior Applied Scientist, Neuro-Symbolic AI Labs
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2026-05-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10411143/senior-applied-scientist-neuro-symbolic-ai-labs
EXCERPT: Senior Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: * Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. * Work in an agile, startup-like development environment, where you are always working on the most important stuff. * Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and
---
TITLE: Principal Specialist, Software Quality Assurance
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Software-Quality-Assurance_31152379
EXCERPT: Principal Specialist, Software Quality Assurance United States - Illinois - Lake Forest posted: Posted 2 Days Ago
---
TITLE: Software Development Engineer - Testing Infrastructure & Performance, Trainium/Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $127K-$185K
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10434242/software-development-engineer-testing-infrastructure-performance-trainium-neuron-annapurna-labs
EXCERPT: Software Development Engineer - Testing Infrastructure & Performance, Trainium/Neuron, Annapurna Labs Cupertino, California, USA The Neuron team within Annapurna ML develops the software stack that powers AWS's custom AI training and inference chips (Trainium, Inferentia). Our team builds and operates the testing infrastructure and performance characterization systems that ensure every release meets quality and performance bars before reaching customers. We directly enable the velocity and reliability of Neuron software releases. We are looking for a Software Development Engineer to own and evolve the testing infrastructure and performance pipeline that validates Neuron software across workloads, models, and hardware configurations. You will build data pipelines that collect, process, and surface performance metrics - and dashboards that give engineers and leadership real-time visibility into regression detection, performance trends, and release readiness. Your work directly impacts how fast we ship high-quality software to customers running ML workloads on Trainium. Key job responsibilities - Design, build, and maintain automated testing infrastructure (Python) that validates Neuron compiler, runtime, and framework integrations across hardware targets - Build and operate data pipelines that ingest performance benchmarks, test results, and system metrics from distributed test runs into centralized data stores - Develop performance dashboards that surface regression detection, trend analysis, and release-readiness signals to engineering teams and leadership - Create and maintain integration test frameworks that validate end-to-end model compilation, execution, and performance across Trainium configurations - Build automated alerting and triage tooling that identifies performance regressions early and routes them to the right owners - Collaborate with Compiler,
---
TITLE: Part Time Universal Banker - 20 hours - Heritage
EMPLOYER: Truist Financial Corporation
LOCATION: Wake Forest, NC (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://truist.wd1.myworkdayjobs.com/Careers/job/Wake-Forest-NC/Part-Time-Universal-Banker---20-hours---Heritage_R0114784
EXCERPT: Part Time Universal Banker - 20 hours - Heritage Wake Forest, NC posted: Posted 8 Days Ago
---
TITLE: Development Manager - BTP HANA Cloud Platform
EMPLOYER: SAP
LOCATION: Country Brazil | Internal Posting Location São Leopoldo (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.sap.com/job/S%C3%A3o-Leopoldo-Development-Manager-BTP-HANA-Cloud-Platform-93022-718/1397004633/
EXCERPT: Development Manager - BTP HANA Cloud Platform Country Brazil | Internal Posting Location São Leopoldo We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. PURPOSE AND OBJECTIVES What do you think about joining an innovative, engaged, and collaborative development environment, building a cutting-edge platform for big data with a team of experts worldwide? The Big Data Fabric Services (BDFS) enables SAP Lines of Business and customers to easily enter the world of Big Data. We are looking for a Development Manager eager to learn and contribute to the world of Big Data. A small disclaimer: we don't work as data scientists analyzing or extracting data, but we build a platform that allows this. THE PRODUCT The major goal of BDFS is to enable SAP Lines of Business (LoB's) and customers to enter the world of big data easily. To achieve that objective, we're delivering Apache Spark as a service, a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters (Kubernetes
---
TITLE: Part Time Universal Banker - 20 hours - Brunswick Forest
EMPLOYER: Truist Financial Corporation
LOCATION: Leland, NC (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://truist.wd1.myworkdayjobs.com/Careers/job/Leland-NC/Part-Time-Universal-Banker---20-hours---Brunswick-Forest_R0112711-1
EXCERPT: Part Time Universal Banker - 20 hours - Brunswick Forest Leland, NC posted: Posted 29 Days Ago
---
TITLE: Engineer, Quality Systems (QC Labs)
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013240551-engineer-quality-systems-qc-labs-
EXCERPT: Engineer, Quality Systems (QC Labs) North Chicago, IL, United States Company Description: AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description: Technical expert that will independently identify, engineer, and optimize new data, software, or technology solutions that address critical business needs. Works with QA Lab Business Owners and the broader BTS organization to improve existing methods and processes. Read and adapt literature and publicly available information to accomplish assignments. Demonstrate proficiency in a broad range of techniques and methods for information technology engineering, including software development, data warehousing, statistics, machine learning, and/or technology infrastructure. Responsibilities: Independently design and develop data, software, or technology solutions to answer scientific or business questions. Demonstrate proficiency across a range of technologies related to programming languages, data integration, data warehousing, and data visualization and analysis. Understand the broad objectives of the project as well as their role in achieving those objectives and modify approach when required. Escalates open issues to ensure execution success and keeps stakeholders informed through effective verbal and written communication. Learn, understand and master new methods
---
TITLE: Head of Global Sales, Digital Health Solutions
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Global-Sales-Director-Digital-Health-Services_31141557-1
EXCERPT: Head of Global Sales, Digital Health Solutions United States - Illinois - Lake Forest posted: Posted 3 Days Ago
---
TITLE: Principal Research Scientist, QTAS & ADME Sciences
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013523471-principal-research-scientist-qtas-adme-sciences
EXCERPT: Principal Research Scientist, QTAS & ADME Sciences North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: AbbVie is seeking a highly motivated and experienced scientist to join our Quantitative, Translation & ADME Sciences (QTAS) team in North Chicago. The ideal candidate will have a strong background and expertise in drug metabolizing enzyme function, drug-drug interaction concepts, quantitative bioanalysis, ability to drive cutting-edge science and lead a team of junior scientists. Applicants having experience in an adjacent area, such as drug permeability and transport, receptor pharmacology and pharmacokinetic modeling is desirable. In this exciting role, you will be expected to participate in implementing innovative and quantitative approaches to advance translational ADME using conventional as well as more complex in vitro models. Working in a laboratory and non-laboratory setting, the position will involve the conduct and scientific leadership of in vitro assays as well as applying translational modeling concepts to help drive the global in vitro ADME strategy at AbbVie. The candidate will be expected to implement and/or evaluate new technologies and approaches to
---
TITLE: Registered Dietitian — New Specialty, New Pace, Paid Training
EMPLOYER: DaVita
LOCATION: 02454 - Forest Fair Dialysis (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/02454---Forest-Fair-Dialysis/Registered-Dietitian---New-Specialty--New-Pace_R0458031
EXCERPT: Registered Dietitian — New Specialty, New Pace, Paid Training 02454 - Forest Fair Dialysis posted: Posted 3 Days Ago
---
TITLE: Sr Software Development Engineer, Neuron Collectives, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10433217/sr-software-development-engineer-neuron-collectives-annapurna-labs
EXCERPT: Sr Software Development Engineer, Neuron Collectives, Annapurna Labs Cupertino, California, USA Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the frontier AI models being trained today. Collectives are the critical operations that scale AI compute across the data center. You'll work in depth to optimize compute for the specific topologies used to train modern LLMs. Working closely with the hardware team, you'll push for maximum performance using C/C++, interfacing with DMA and firmware and investigating detailed topologies. You'll analyze current collective algorithms using publicly accessible tools like Neuron Explorer and optimize these to fully utilize compute and bus bandwidth to scale across the data center. This is a unique opportunity to impact how AI training runs at AWS scale, while growing your technical breadth and depth. Key job responsibilities As a Neuron Collectives Software Developer, you will: * Enhance collective algorithms and topologies for optimal training performance * Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization * Monitor and analyze processor, DMA, firmware, and workload metrics * Optimize collective operations to scale AI compute across the data center * Work closely with the hardware team to co-optimize software and Trainium
---
TITLE: IT Business Relationship Manager – Quality, Regulatory, and Technical Services
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/IT-Business-Relationship-Manager---Quality--Regulatory--and-Technical-Services_31151403-1
EXCERPT: IT Business Relationship Manager – Quality, Regulatory, and Technical Services United States - Illinois - Lake Forest posted: Posted 14 Days Ago
---
TITLE: Data Scientist, Labs, SCOT Forecasting and Labs
EMPLOYER: Amazon
LOCATION: Bellevue, Washington, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-04-24
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10402213/data-scientist-labs-scot-forecasting-and-labs
EXCERPT: Data Scientist, Labs, SCOT Forecasting and Labs Bellevue, Washington, USA At Amazon, our SCOT Labs team owns and operates the experimentation platform that powers randomized controlled trials (RCTs) across Supply Chain Optimization Technologies (SCOT). We are the scientific gatekeepers for policy updates that govern how Amazon buys, stores, and moves billions of units of inventory worldwide. This is not traditional A/B testing: we are building the infrastructure and methodology to causally evaluate complex and interconnected supply chain interventions. Our platform runs experiments that span millions of products and hundreds of fulfillment nodes simultaneously, measuring the real-world impact of policy changes on inventory health, customer experience, and operational cost. We are also advancing the science of causal inference in supply chain settings by developing novel approaches to treatment effect estimation, interference modeling, and emulation techniques that allow us to assess policy impact faster and more accurately than ever before. The experiments you design and the methods you build here will directly determine which policies ship to production. These decisions influence hundreds of millions of dollars in weekly inventory investments, labor allocation for tens of thousands of associates, and Amazon's overall supply chain efficiency. Beyond operational impact, this team pushes the frontier of causal experimentation methodology and contributes to the broader scientific community with publications at top venues. If you are a scientist who wants to shape how one of the world's largest supply chains makes decisions - solving causal inference challenges in real-world settings no academic lab or startup can replicate
---
TITLE: RF/Antenna Engineer II
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-430--19859-Hwy-80--BLDG-430/RF-Antenna-Engineer-II_01820141-1
EXCERPT: RF/Antenna Engineer II US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 posted: Posted 30+ Days Ago
---
TITLE: Applied Scientist, SPX AI Lab
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-03-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3193573/applied-scientist-spx-ai-lab
EXCERPT: Applied Scientist, SPX AI Lab Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities - Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. - Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment. About the team Amazon Seller
---
TITLE: Test Technician Sr.
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-13
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-431--19859-Hwy-80--BLDG-431/Test-Technician-Sr_01843405
EXCERPT: Test Technician Sr. US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 posted: Posted 30 Days Ago
---
TITLE: Member of Technical Staff, Data Platform , AGI
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $150K-$325K
POSTED: 2026-02-19
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3184511/member-of-technical-staff-data-platform-agi
EXCERPT: Member of Technical Staff, Data Platform , AGI San Francisco, California, USA Amazon AGI Autonomy develops foundational capabilities for useful AI agents. We are the research lab behind Amazon Nova Act, a state-of-the-art computer-use agent. Our work combines Large Language Models (LLMs) with Reinforcement Learning (RL) to solve reasoning, planning, and world modeling in the virtual world. We are a small, talent-dense lab with the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. Come be a part of our journey! -- About the team: We are a research engineering team responsible for data ingestion and research tooling that support model development across the lab. The lab's ability to train state-of-the-art models depends on generating high-quality training data and having useful tools for understanding experimental outcomes. We accelerate research work across the lab while maintaining the operational reliability expected of critical infrastructure. -- About the role: As a backend engineer on the team, you will build and operate core services that ingest, process, and distribute large-scale, multi-modal datasets to internal tools and data pipelines across the lab. This is a hands-on technical leadership role. You will ship a lot of code while defining backend architecture and operational standards across the platform. The platform is built primarily in TypeScript today, with plans to introduce Python services in the future. We are looking for someone who can balance rapid experimentation with operational rigor to build reliable services in a fast-moving research environment. Key job responsibilities - Be highly
---
TITLE: RF Test Engineer II
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-430--19859-Hwy-80--BLDG-430/RF-Test-Engineer-II_01821067-1
EXCERPT: RF Test Engineer II US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 posted: Posted 30+ Days Ago
---
TITLE: Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $183K-$248K
POSTED: 2026-03-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3193440/sr-soc-verification-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
EXCERPT: Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have
---
TITLE: Head of Commercial Quality US, Global QMS and CQ Excellence Lead
EMPLOYER: Abbott Laboratories
LOCATION: United States - Illinois - Lake Forest (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Lake-Forest/Head-of-Commercial-Quality-US--Global-QMS-and-CQ-Excellence-Lead_31149904-1
EXCERPT: Head of Commercial Quality US, Global QMS and CQ Excellence Lead United States - Illinois - Lake Forest posted: Posted 30+ Days Ago
---
TITLE: Software Development Manager, AWS Neuron Frameworks
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $213K-$288K
POSTED: 2025-08-06
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3053197/software-development-manager-aws-neuron-frameworks
EXCERPT: Software Development Manager, AWS Neuron Frameworks Cupertino, California, USA We're seeking a Software Development Manager to lead our Frameworks team within AWS Neuron, the software stack powering AWS Inferentia and Trainium machine learning accelerators. This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you will lead and mentor a high-performing team of software engineers while driving the development and maintenance of critical Neuron framework components. You'll drive cross-functional collaboration with compiler, runtime, and kernel development teams to ensure seamless integration of Neuron with major machine learning frameworks. You will also contribute technically by reviewing designs and implementing features. A crucial aspect of your role will be building and nurturing strategic relationships with open-source communities, particularly with JAX, OpenXLA, and PyTorch/XLA. You'll work closely with these communities to align framework development roadmaps with Neuron's strategic objectives, ensuring our customers have access to the latest ML framework innovations. In this role, you'll be instrumental in shaping how developers interact with AWS's machine learning accelerators, ensuring our customers can easily adopt and benefit from the latest advancements in ML frameworks. The position offers an opportunity to work at the intersection of cloud computing, machine learning, and open-source software, while leading a team that directly influences the future of ML acceleration at AWS. The ideal candidate will bring proven experience managing software development teams and a strong background in machine learning frameworks and acceleration software. You should
---
TITLE: Quality Inspector - 2nd Shift
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-431--19859-Hwy-80--BLDG-431/Quality-Inspector---2nd-Shift_01844235
EXCERPT: Quality Inspector - 2nd Shift US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 posted: Posted 10 Days Ago
---
TITLE: Software Development Engineer II, Rufus AI
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-05-18
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10422975/software-development-engineer-ii-rufus-ai
EXCERPT: Software Development Engineer II, Rufus AI Seattle, Washington, USA We are reimagining Amazon Customer journeys with an interactive conversational experience that helps you find answers to anything on Amazon and perform actions on behalf of customers with personalized responses tailored to the customer's specific needs. You will be working on critical 2026 goals to scale the conversational chat bot experience to handle wide variety of actions that Amazon customers rely on. We are building foundational technical stacks that will enable teams within Amazon to onboard their customer experiences onto the chatbot. Key job responsibilities An SDE II on the Rufus Shopping Agent team works backward from the customer, applying the latest advances in AI agents and agentic AI to deliver delightful experiences. They develop deep expertise in both customer‑facing business metrics and operational metrics (such as latency and availability, partner onboarding friction, developer velocity), and they maintain a high standard for launching features that enhance response quality while improving those operational metrics. They stay current with innovations in the agent space, both inside and outside Amazon, and translate those insights into tangible value for our customers. With a solid grasp of the end‑to‑end development stack, AWS backend services, and front‑end technologies, they collaborate to deliver features from end to end. A day in the life Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at
---
TITLE: Sr. Test & Validation Engineer
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-430--19859-Hwy-80--BLDG-430/Sr-Test---Validation-Engineer_01836439
EXCERPT: Sr. Test & Validation Engineer US-MS-FOREST-430 ~ 19859 Hwy 80 ~ BLDG 430 posted: Posted 30+ Days Ago
---
TITLE: Staff Industrial Engineer, OpEx (LSS Black Belt)
EMPLOYER: Abbott Laboratories
LOCATION: United States - Minnesota - Plymouth (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Minnesota---Plymouth/Staff-Industrial-Engineer--OpEx--LSS-Black-Belt-_31151829-1
EXCERPT: Staff Industrial Engineer, OpEx (LSS Black Belt) United States - Minnesota - Plymouth posted: Posted 10 Days Ago
---
TITLE: Quality Assurance Engineer - Audio, Edge Technology
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10377072/quality-assurance-engineer-audio-edge-technology
EXCERPT: Quality Assurance Engineer - Audio, Edge Technology Bengaluru, Karnataka, IND Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? Key job responsibilities As a Software Quality Assurance Engineer - Audio, you will work with consumer application testing expertise. You will join the team of hands-on, pro-active, self-motivated and seasoned SQA professionals. In this role, you will: • Create test plans, test cases, test setup requirements, and test design to evaluate Audio Algorithms of Devices • Efficiently execute test cases across all functional areas of our products • Review product user interface for conformity to design guidelines • Find, isolate, document, regress, and track bugs through resolution • Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process • Work with Software Development Engineers to understand the overall technical architecture and how each feature is implemented Basic Qualifications: - BS degree - 4+ years of quality assurance engineering experience - Experience in manual testing - Experience in automation testing - Experience scripting or coding - Audio Algorithm testing in various scenarios like noise scenarios, environment conditions etc in Audio Lab - Expertise in audio analyzing tools Preferred Qualifications: - Experience in gathering test requirements to create
---
TITLE: Applied Scientist III, RBKS AI
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 196K-327K
POSTED: 2025-11-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai
EXCERPT: Applied Scientist III, RBKS AI Toronto, Ontario, CAN The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems. The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience. Key job responsibilities * Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding * Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference * Map product requirements into science solutions and deliver high-quality science artifacts that ship to products * Collaborate with scientists, engineers, product/program managers and other cross-functional teams * Provide technical leadership on AI products/features, and develop and mentor junior scientists on the team. Basic Qualifications: - PhD, or Master's degree and 8+ years of applied research experience - Proven expertise in
---
TITLE: Lead Test Technician - 3rd Shift
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-431--19859-Hwy-80--BLDG-431/Lead-Test-Technician---3rd-Shift_01827164-1
EXCERPT: Lead Test Technician - 3rd Shift US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 posted: Posted 30+ Days Ago
---
TITLE: Applied Scientist, Console Science
EMPLOYER: Amazon
LOCATION: Santa Clara, California, USA (unspecified)
SALARY: $172K-$222K
POSTED: 2026-02-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3179405/applied-scientist-console-science
EXCERPT: Applied Scientist, Console Science Santa Clara, California, USA We are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). As part of our Science team in AWS Console, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon's heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding. We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity
---
TITLE: Sr. Automation Systems Engineer III
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-425 ~ 19859 Hwy 80 ~ BLDG 425 (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-425--19859-Hwy-80--BLDG-425/Sr-Automation-Systems-Engineer--III_01824123
EXCERPT: Sr. Automation Systems Engineer III US-MS-FOREST-425 ~ 19859 Hwy 80 ~ BLDG 425 posted: Posted 4 Days Ago
---
TITLE: Software Development Engineer III — Neuron Containers, Neuron Containers, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2026-03-25
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10375477/software-development-engineer-iii-neuron-containers-neuron-containers-annapurna-labs
EXCERPT: Software Development Engineer III — Neuron Containers, Neuron Containers, Annapurna Labs Cupertino, California, USA Lead multi-person projects end-to-end - from design documentation and architecture reviews through to delivery Design container platform integrations - device plugins, DRA drivers, and operator development for ML accelerator resource management Solve scalability challenges - diagnose performance issues across thousand-node customer clusters Simplify systems - deprecate legacy software and reduce complexity in container delivery pipelines Drive operational excellence - own on-call responsibilities, proactively triage test failures, and drive ticket resolution Elevate team quality - deliver insightful code reviews and set the standard through your own contributions Build consensus - align stakeholders on technical direction when solutions are ambiguous or views are discordant About the team Neuron Containers connects the Neuron SDK to compute platforms. The team enables customers to run training and inference workloads on Neuron at scale - with reliable device allocation, fault tolerance, auto-scaling, and native observability. The team owns Neuron integration with Kubernetes, ECS, and Slurm. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - 7+ years of software development experience - 4+
---
TITLE: 2026 Full-time - Electrical Engineer I - Onsite (MS)
EMPLOYER: Raytheon Technologies
LOCATION: US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 (onsite)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-MS-FOREST-431--19859-Hwy-80--BLDG-431/XMLNAME-2026-Full-time---Electrical-Engineer-I---Onsite--MS-_01851910
EXCERPT: 2026 Full-time - Electrical Engineer I - Onsite (MS) US-MS-FOREST-431 ~ 19859 Hwy 80 ~ BLDG 431 posted: Posted Yesterday
---
TITLE: Software Development Manager, LLM Inference Model Enablement, Neuron SDK
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $213K-$288K
POSTED: 2025-09-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3074104/software-development-manager-llm-inference-model-enablement-neuron-sdk
EXCERPT: Software Development Manager, LLM Inference Model Enablement, Neuron SDK Cupertino, California, USA DESCRIPTION AWS Utility Computing (UC) provides product innovations, from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Come optimize LLMs such as Llama and GPT-OSS to run really fast on Trainium. As the SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Neuron and Trainium and Inferentia accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the
---
TITLE: Black Belt
EMPLOYER: Corning
LOCATION: Reynosa (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://corningjobs.corning.com/job/Reynosa-Black-Belt-TAM-88700/1337659600/
EXCERPT: Black Belt Reynosa Role Purpose With only general guidelines, is able to propose, plan, coordinate, and control projects of moderate complexity and risk involving one or two technologies/organizational units (ex: building a melting unit) or new product with a process extension. Project/s will typically have moderate financial and /or strategic impact on the corporation. Manages project resources (people, budgets, etc) as necessary to support and meet overall business objectives. Can provide technical and non-technical guidance (oversight) to ensure the systems are technically and economically successful. Supervises and participates in the development of solutions and resolutions to complex problems which require the regular use of ingenuity and creativity Key Responsibilities Provide project leadership for key projects including new process or product development, capital projects such as capacity expansions, relocation, modifications, alterations, or manufacturing process improvements Establish requirements with customer(s). Understand nature of the business requirements for each project Establish overall project plans (scope, schedule, cost estimates, project acceptance criteria, procurement/contracting strategy, risk management, etc). Assist in project evaluation and justification. Work with the business in the preparation of Appropriation Requests (A/R) Establish roles, responsibilities and competencies required for the project. Build an effective project team utilizing internal and externa
---
TITLE: Scientist I, Bioanalytics
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013532596-scientist-i-bioanalytics
EXCERPT: Scientist I, Bioanalytics North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Quantitative, Translational & ADME Sciences (QTAS) Department at AbbVie, Inc. in North Chicago, IL is seeking a Scientist I to join the Non-Regulated Bioanalysis group. This role supports high-throughput processing of samples from biological matrices and LC-MS/MS-based bioanalysis. The ideal candidate will have experience in bioanalytical sample preparation using a range of extraction techniques, operational workflows, data analysis, review, and reporting. This position is well suited for a detail-oriented, motivated scientist who thrives in a fast-paced, collaborative environment and is committed to delivering high-quality results across multiple projects under tight deadlines. The role also involves partnering with cross-functional teams to align bioanalytical processes with scientific and business needs. Key Responsibilities Support LC-MS/MS-based PK/PD, efficacy, and exploratory toxicology bioanalytical studies Conduct and optimize sample extraction using protein precipitation, liquid/liquid extraction, or solid-phase extraction methods Operate and troubleshoot robotic systems (Hamilton, Tecan) and LC-MS/MS platforms (Leap/CTC PAL autosamplers, Agilent HPLCs, Sciex 5500/6500 triple quadrupole mass spectrometers) and software such as Discovery
---
TITLE: Revenue Operations Coordinator I (Lab)
EMPLOYER: DaVita
LOCATION: 00303 - TRC Lab SGA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://davita.wd1.myworkdayjobs.com/DKC_External/job/00303---TRC-Lab-SGA/ROPS-Coordinator-I--Lab-_R0455765
EXCERPT: Revenue Operations Coordinator I (Lab) 00303 - TRC Lab SGA posted: Posted 16 Days Ago
---
TITLE: Software Dev Engineer III, Ads AI Core Infra
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3206096/software-dev-engineer-iii-ads-ai-core-infra
EXCERPT: Software Dev Engineer III, Ads AI Core Infra Bengaluru, Karnataka, IND Would you like to build highly available, scalable and distributed engineering systems for one of the largest data lakes in Amazon? Does Petabyte scale excite you? Spektr Datalake team is the central data lake for Advertising unifying Petabytes of data generated across the Ads pipeline such as campaigns, ad-serving, billing, clicks, impressions and more and into a single scalable repository. This is used across the organization to drive hundreds of thousands of complex queries for analysis, measurement and reporting decisions for our customers. The data lake enables customers such as data engineers, business analysts, ML engineers, research scientists, economists and data experts to collect what they need via world-class self-service tools. Spektr Data Lake team in Ads AI Core Infra org has a mission to provide unified experience for easy discovery and access to privacy compliant data that helps advertising business teams quickly generate insights and meet the data needs of Ads AI models with a vision to 'build the world's best & most cost efficient analytics platform'. A Sr SDE on this team has a unique opportunity to create tech strategies, design and innovate solutions for this scale, delivering robust and scalable services built over Java leveraging AWS services as well as innovate with big data technologies like Spark, EMR, Athena and more. You will create value that materially impacts the speed and quality of decision making across the organization resulting in tangible business growth. Key job responsibilities
---
TITLE: Junior Trader Wheat
EMPLOYER: Bunge
LOCATION: Geneve (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
APPLY_URL: https://jobs.bunge.com/job/Gen%C3%A8ve-Junior-Trader-Wheat-Gene-1206/1397405033/
EXCERPT: Junior Trader Wheat Geneve Requisition Number: 45529 About the Role We are looking for an ambitious and commercially driven Wheat Trader to join our international trading team. In this role, you will take an active position in the wheat markets across the EU and Black Sea regions, identifying opportunities, executing trades, and managing positions within defined limits. You will work at the heart of the market-balancing supply and demand, navigating price volatility, and driving trading performance. This is a hands-on role with real exposure to P&L, where you will collaborate closely with experienced traders, logistics, and risk teams while building your own market view and network. Your Responsibilities Execute and develop wheat trading strategies in international markets Identify arbitrage opportunities and translate them into profitable trades Build and grow relationships with customers, brokers, and counterparties Analyze market dynamics (supply, demand, flows, pricing, and risk) Manage positions and contribute to hedging strategies (futures & cash) Monitor and steer shipment flows in close coordination with logistics Stay on top of market developments and share actionable insights What You Bring Minimum 2+ years of experience in commodity trading, preferably in wheat Strong understanding of agricultural markets and trading fundamentals Experience with risk management and hedging instruments is a plus Familiarity with EU & Black Sea trading flows and logistics routes is a strong advantage Sharp com
---
TITLE: Scientist l, QTAS & ADME Sciences
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013532541-scientist-l-qtas-adme-sciences
EXCERPT: Scientist l, QTAS & ADME Sciences North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Quantitative, Translational and ADME Sciences Department at AbbVie, Inc. in North Chicago, IL is seeking a scientist to conduct routine and non-routine, in vitro enzyme-catalyzed drug metabolism screening assays. Guided and mentored by senior staff, the scientist will be expected to conduct detailed high-quality assays, including custom assays to answer specific drug metabolism questions, in a time-sensitive environment. Over time, the individual will build understanding to propose follow up experiments and as well as effectively communicate results to stakeholders. Familiarity with enzymology, hepatocyte biology and quantitative analyses is desired. Key Responsibilities: Independently perform routine and non-routine drug metabolism assays to generate precise, timely, high-quality data. Collaborate with department team members including Bioanalytical counterparts to ensure seamless and timely execution of studies. Learn drug metabolism assays including but not limited to microsomal and hepatocyte stability, clearance and enzyme Inhibition. Interact with scientists at all levels and effectively communicate results. Qualifications: Bachelor's Degree or equivalent education with typically
---
TITLE: Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-05-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10415417/software-development-engineer-ai-ml-amazon-neuron-multimodal-inference
EXCERPT: Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference Seattle, Washington, USA The Annapurna Labs team at Amazonbuilds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection
---
TITLE: Managing Director SAP Labs Israel (f/m/d)
EMPLOYER: SAP
LOCATION: Country Israel | Internal Posting Location Raanana (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.sap.com/job/Ra'anana-Managing-Director-SAP-Labs-Israel-%28fmd%29-4366202/1399730833/
EXCERPT: Managing Director SAP Labs Israel (f/m/d) Country Israel | Internal Posting Location Raanana We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Where you belong The Managing Director (MD) of SAP Labs Israel (f/m/d) is a senior, on-site leadership role responsible for the overall success of that lab as part of the SAP Labs Network. The MD acts as the local face of SAP Product Engineering while representing Labs Israel within the global SAP Labs Network leadership. The role sits at the intersection of people, execution, strategy, and ecosystem, not day‑to‑day product delivery, but the conditions that enable it. Specifically, this role is responsible for formulating the strategic vision, establishing a cohesive value proposition, and driving the operational excellence of SAP Labs Israel as a global development and engineering hubs. The MD serves as SAP's spokesperson and legal representative for the Lab, ensuring that appropriate internal and external relationships are developed and maintained to position SAP Labs Israel as a trusted peer, thought leader, and integral node
---
TITLE: Innovation Lab Manager, RDPI - Global Engineering
EMPLOYER: Amazon
LOCATION: Westboro, Wisconsin, USA (unspecified)
SALARY: $99K-$160K
POSTED: 2026-04-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10406863/innovation-lab-manager-rdpi-global-engineering
EXCERPT: Innovation Lab Manager, RDPI - Global Engineering Westboro, Wisconsin, USA The RDPI (Robotics Deployment & Packaging Innovation) Global Engineering team is seeking a talented and highly organized Lab Manager to contribute to delivering transformational innovation to the business. You will be part of a dynamic team of engineers with the mission to ensure that robotics technologies maturing through the development pipeline are vetted and tested to identify and resolve issues upstream before large-scale deployment and operation. You will manage the infrastructure and operations for the key innovation lab(s) that designers, engineers, and scientists rely on to invent, prototype, test, and perform experiments on the next generation automation technologies for Amazon fulfillment. You will take end-to-end ownership of these lab facilities to transform them into high-performing centers of excellence. If you are passionate about pioneering new technologies for the real world, innovating, and experimenting to enable delivery of automation systems at scale, we want to talk to you. Key job responsibilities - Manage day-to-day operations of the lab space, including lab user management, shipping & receiving (ranging from single packages to trailer loads), lab cleanliness standards and upkeep, accurate inventory records and re-stocking, lab operating budget management, safety protocols, vendor relationships, capacity planning, and equipment calibration and maintenance. - Maintain accurate lab records, including experiment logs, maintenance schedules, and operational reports; assist in compiling technical documentation for internal and external stakeholders. - Drive continuous improvement in lab operation, equipment utilization, and equipment layout. - Partner with product designers and engineers to
---
TITLE: Applied Scientist, Private Brands Discovery
EMPLOYER: Amazon
LOCATION: Vancouver, British Columbia, CAN (unspecified)
SALARY: CAD 149K-249K
POSTED: 2026-01-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3155455/applied-scientist-private-brands-discovery
EXCERPT: Applied Scientist, Private Brands Discovery Vancouver, British Columbia, CAN The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon's own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon's own brands and serve as a beacon for discovery solutions across Amazon. This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities - Experience in causal ML and treatment effect estimation,
---
TITLE: Test Lab Engineer
EMPLOYER: BASF
LOCATION: Country / Location United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://basf.jobs/dark_blue_NA/job/Test-Lab-Engineer/137397-en_US/
EXCERPT: Test Lab Engineer Country / Location United States Now hiring! Test Lab Engineer Wyandotte, MI We are looking for a Test Lab Engineer to join our Performance Materials team in Wyandotte. Come create chemistry with us! The Performance Materials division is at the forefront of the much-needed sustainability transformation in plastics. Our experts co-create products with customers to bring innovations to major industry sectors such as transportation, consumer goods, industrial applications, and construction.These solutions contribute to a sustainable future by pushing the boundaries in thermal resistance, robustness and lightweight applications. We are seeking a professional like you to join our team. In this role, you will be responsible for operating the Cellasto Test Lab which performs testing on Cellasto components in support of the Cellasto Sales & Engineering, Quality Assurance, Manufacturing, and Chemical Development Groups As a Test Lab Engineer, you create chemistry by... Performing static and dynamic testing of Cellasto parts and components using complex mechanical test equipment. Maintaining lab systems such as calibration and preventative maintenance compliant with the expectations of automotive customers. Identifying and resolve test equipment performance issues and breakdowns. Ensuring that diverse customer requirements are met on time within the resource constraints of the lab. If you... Have or actively pursuing a degree in Engineering and/or engineering background and lab skills Possess strong communication skil
---
TITLE: SDE-II, AI Core Infra - AI Analytics and Insights
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10435578/sde-ii-ai-core-infra-ai-analytics-and-insights
EXCERPT: SDE-II, AI Core Infra - AI Analytics and Insights Bengaluru, Karnataka, IND Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle. We are building a conversational AI assistant that empowers data engineers, analysts, and business stakeholders to interact with our vast advertising data lake through natural language. Using state-of-the-art generative AI, SpektrBot enables teams to generate insights faster by translating natural language queries into accurate, trusted data retrievals, eliminating the friction between questions and answers. As an SDE II on this team, you will be at the center of designing, building, and scaling the systems that power this conversational AI experience. You will architect robust backend services, build reliable integrations with large language models (LLMs), develop retrieval-augmented generation (RAG) pipelines, and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists, product managers, and fellow engineers in a fast-paced, high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data. This is a rare opportunity to build a 0-to-1 product at Amazon's scale, one that sits at the intersection of generative AI, data engineering, and conversational interfaces. If you are passionate about building production-grade AI-powered systems, thrive in ambiguity,
---
TITLE: Lab Engineer , Amazon Leo
EMPLOYER: Amazon
LOCATION: Kirkland, Washington, USA (unspecified)
SALARY: $39-$69/hr
POSTED: 2026-05-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10430769/lab-engineer-amazon-leo
EXCERPT: Lab Engineer , Amazon Leo Kirkland, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. As an Lab Engineer at SEA133, you will troubleshoot complex technical issues, implement safety protocols, drive process improvements, and develop Standard Operating Procedures (SOPs). You will work with cross-functional teams to ensure lab operations meet quality standards and safety requirements. Key job responsibilities Troubleshoot and resolve technical issues in the SSL lab environment Develop and maintain SOPs for lab operations and equipment Implement safety protocols and ensure compliance with all safety standards Lead process improvement initiatives to increase efficiency and reduce errors Conduct root cause analysis for lab incidents and implement corrective actions Collaborate with engineering teams to validate new hardware and software solutions Train team members on proper lab procedures and safety protocols Document technical issues, resolutions, and process changes A day in the life Laboratory setting with specialized test equipment May require occasional extended hours to complete critical test campaigns Collaborative team environment focused on product quality and reliability Basic Qualifications: - Experience planning and maintaining lab facilities for optimal efficiency and creating new processes when necessary - Bachelor's degree in Engineering, Computer Science, or related technical field - 1+ years of experience in a technical lab environment - Experience writing
---

[PASTE YOUR RESUME OR SKILLS HERE]