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: Thought Machine - quality_floor: default - match_401k_strict: true - parental_strict: true - non_birth_strict: true - pto_strict: true - include_older: false - apply_url_verified: false - page: 8 - per_page: 100 - sort: relevance Jobs (100 total): --- TITLE: CNC Machine Operator EMPLOYER: Ufp Industries Inc LOCATION: Windsor, CO (unspecified) SALARY: Not disclosed POSTED: 2026-06-10 K401_MATCH: yes (not source-backed) APPLY_URL: https://ufpi.wd503.myworkdayjobs.com/ufpi/job/Windsor-CO/CNC-Machine-Operator_R20902 EXCERPT: CNC Machine Operator Windsor, CO posted: --- TITLE: Senior Machine Learning Engineer EMPLOYER: Bill.com LOCATION: Draper, Utah, United States (unspecified) SALARY: $146K-$175K POSTED: 2026-02-27 MENTAL_HEALTH_SUPPORT: yes (not source-backed) APPLY_URL: https://www.bill.com/job?5814285004&gh_jid=5814285004 EXCERPT: Senior Machine Learning Engineer Draper, Utah, United States Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses-from startups to established brands-make smarter decisions and gain control of their operations. And we don't stop there: we're creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that's ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity-and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person's unique skills and experiences. We'd love to hear from you-you might be just what we're looking for, whether in this role or another. ✨ Let's give businesses more time for what matters. Make your impact within a rapidly growing Fintech Company Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work --- TITLE: Machine Operator EMPLOYER: Airbus LOCATION: Kinston, NC (unspecified) SALARY: Not disclosed POSTED: 2026-06-02 APPLY_URL: https://ag.wd3.myworkdayjobs.com/Airbus/job/Kinston-NC/Machine-Operator_JR10417418 EXCERPT: Machine Operator Kinston, NC posted: Posted 10 Days Ago --- TITLE: Senior Manager, Scientific AI Engineer EMPLOYER: Pfizer LOCATION: 4 Locations (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://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Senior-Manager--Scientific-AI-Engineer_4956481-1 EXCERPT: Senior Manager, Scientific AI Engineer 4 Locations posted: Posted Today --- TITLE: CNC Machining Operator EMPLOYER: Jabil LOCATION: Bandung (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Bandung/CNC-Machining-Operator_J2446667 EXCERPT: CNC Machining Operator Bandung posted: Posted 30+ Days Ago --- TITLE: Technicien Maintenance Machine EMPLOYER: Eaton Corporation LOCATION: Tangier, MAR, 90000 (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://eaton.eightfold.ai/careers/job/687222107117 EXCERPT: Technicien Maintenance Machine Tangier, MAR, 90000 --- TITLE: Senior Machine Learning Engineer, Public Sector EMPLOYER: Scale AI LOCATION: San Francisco, CA; New York, NY; Washington, DC (unspecified) SALARY: $216K-$300K POSTED: 2026-06-07 APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4281519005 EXCERPT: Senior Machine Learning Engineer, Public Sector San Francisco, CA; New York, NY; Washington, DC The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge . Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. You will: Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers Improve and maintain production --- TITLE: Machine Operator EMPLOYER: Sysco LOCATION: Paragon - Warrendale (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://sysco.wd5.myworkdayjobs.com/syscocareers/job/Paragon---Warrendale/Machine-Operator_R247749 EXCERPT: Machine Operator Paragon - Warrendale posted: Posted 30+ Days Ago --- TITLE: Senior Machine Learning Engineer- LLMs & Self-Hosted AI EMPLOYER: Navan INC LOCATION: Tel-Aviv, Israel (unspecified) SALARY: Not disclosed POSTED: 2026-04-08 APPLY_URL: https://navan.com/careers/openings?gh_jid=7783027 EXCERPT: Senior Machine Learning Engineer- LLMs & Self-Hosted AI Tel-Aviv, Israel We are looking for a highly skilled Senior Machine Learning Engineer to lead our transition from on-demand, third-party LLM APIs to a fully self-hosted, scalable model ecosystem. Our core product is an advanced, agentic support chatbot capable of complex reasoning, API tool calling, database lookups, and orchestrating specialized Small Language Models (SLMs) for targeted NLP tasks. As we scale, our current deployment infrastructure (AWS SageMaker) is becoming unsustainable. You will be responsible for architecting, deploying, and optimizing an infrastructure capable of supporting 50 to 100 distinct models ranging from 100M to 70B parameters. What You'll Do: Inference Optimization: Deploy and manage large-scale models using high-performance inference engines (like vLLM) to ensure low latency and high throughput for our agentic chatbot. Agentic Workflows: Develop and refine the chatbot's agentic capabilities, ensuring reliable tool-use, routing, and interactions between massive LLMs and specialized SLMs. Model Fine-Tuning: Design and execute fine-tuning strategies to improve model accuracy on specific domain tasks and tool-calling execution. Rigorous Evaluation: Build comprehensive offline and online evaluation frameworks to constantly measure model performance and business impact through structured A/B testing. What We're Looking For: Core Engineering & AI Frameworks Strong proficiency in Python and Bash scripting. Deep experience with PyTorch and the Hugging Face ecosystem. Experience using AI coding assistants natively in the terminal, specifically Claude Code , to accelerate development workflows. LLMs, Inference & Agents Proven experience deploying models using vLLM , TGI, or similar high-performance inference servers. Strong --- TITLE: Machine operator ll / Stayton EMPLOYER: Ufp Industries Inc LOCATION: Stayton, OR (unspecified) SALARY: Not disclosed POSTED: 2026-06-10 K401_MATCH: yes (not source-backed) APPLY_URL: https://ufpi.wd503.myworkdayjobs.com/ufpi/job/Stayton-OR/Machine-operator-ll_R20253-1 EXCERPT: Machine operator ll / Stayton Stayton, OR posted: --- TITLE: Account Executive, Enterprise, DACH EMPLOYER: Notion LOCATION: Munich, Germany, Munich, Germany (unspecified) SALARY: Not disclosed POSTED: 2026-04-22 NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed) APPLY_URL: https://jobs.ashbyhq.com/notion/dc555dc9-e244-405c-8344-4477b8cc46c1 EXCERPT: Account Executive, Enterprise, DACH Munich, Germany, Munich, Germany Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About the Role We are looking for a motivated Account Executive - Enterprise DACH with an entrepreneurial and building spirit to join our GTM Sales Team. You will be instrumental in helping build pipeline, generate revenue, and expand our most strategic customers. As an Account Executive - Enterprise DACH, you will play an important role in defining/iterating on our sales motions, providing customer feedback to help shape our roadmap, and generating revenue to grow our sales business. This role is based in Munich and requires fluency in German and English. What You'll Achieve - Manage the --- TITLE: Machine Operators EMPLOYER: Saputo Inc. LOCATION: Nuneaton, Warwickshire (unspecified) SALARY: Not disclosed POSTED: 2026-06-03 APPLY_URL: https://saputo.wd5.myworkdayjobs.com/Saputo_External_Careers/job/Nuneaton-Warwickshire/Machine-Operators_JR64798 EXCERPT: Machine Operators Nuneaton, Warwickshire posted: Posted 9 Days Ago --- TITLE: Senior Machine Learning Engineer (Mandarin speaking) EMPLOYER: MOLOCO LOCATION: Menlo Park, California, United States; Seattle, Washington, United States (unspecified) SALARY: $200K-$250K POSTED: 2025-10-28 K401_MATCH: yes (not source-backed) APPLY_URL: https://job-boards.greenhouse.io/moloco/jobs/7357296003 EXCERPT: Senior Machine Learning Engineer (Mandarin speaking) Menlo Park, California, United States; Seattle, Washington, United States About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: As a Senior Machine Learning Engineer on Moloco's Ads Quality team, you'll design and scale machine learning systems that directly improve ad relevance, ranking, and optimization. Your work will have a measurable impact on advertiser performance, revenue efficiency, and the overall user --- TITLE: Machine Operator - Sawline EMPLOYER: Ufp Industries Inc LOCATION: Hartselle, AL (unspecified) SALARY: Not disclosed POSTED: 2026-06-10 K401_MATCH: yes (not source-backed) APPLY_URL: https://ufpi.wd503.myworkdayjobs.com/ufpi/job/Hartselle-AL/Machine-Operator---Sawline_R20389 EXCERPT: Machine Operator - Sawline Hartselle, AL posted: --- TITLE: Internship - Machine Learning and Data Analytics EMPLOYER: Infineon Technologies LOCATION: Singapore (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://infineon.eightfold.ai/careers/job/563808969127363 EXCERPT: Internship - Machine Learning and Data Analytics Singapore --- TITLE: Executive Policy Engagement Lead, DeepMind EMPLOYER: DeepMind LOCATION: London, UK (unspecified) SALARY: Not disclosed POSTED: 2026-05-29 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=CiUAL2FckVxvMY3uqanu9SOD6Deq2TEevdb3KGvWewG65rnof2OKEjoACxwdTA0VtcFhp5zH6C7kUB6wAAqNLhPvBIAXOyp92zaFdhjk9gbGLcUkfMDVw4J690QIM_IuIAq-_V2&loc=GB&title=Executive+Policy+Engagement+Lead EXCERPT: Executive Policy Engagement Lead, DeepMind London, UK In this role, you will be an experienced leader to co-design and scale DeepMind's Executive Policy Engagement function. You will help to set and drive the strategy for how DeepMind's executives build trust with governments and policymakers. You will own long-term engagement plans, brief and staff our executives for high-stakes events, and help to build an executive policy engagement function. You are an autonomous leader with advisory experience, operating expertly at the intersection of policy, communications, and executive management. You will collaborate closely and build trust with leaders in partner teams, including Communications and multiple executive offices. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Partner with leadership to build the executive policy engagement function. Own, design, and execute bespoke, long-term engagement strategies for our growing executive portfolio. Serve as the primary on-the-ground counsel for executives during international travel, providing real-time political insights and navigating stakeholder dynamics at major global forums. Draft researched briefing materials, speech content, and policy narratives to ensure --- TITLE: Machine Learning Manager EMPLOYER: Hive LOCATION: Seattle (unspecified) SALARY: $180K-$250K POSTED: 2022-04-21 APPLY_URL: https://jobs.lever.co/hive/9f49cef5-3e44-4ff4-8816-c5dcfc1e64e6 EXCERPT: Machine Learning Manager Seattle About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets. We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better. About Hive Hive --- TITLE: Lead Laundry Machine Operator, NL-05 EMPLOYER: Department of the Army LOCATION: Honolulu, Hawaii (unspecified) SALARY: Not disclosed POSTED: 2026-05-08 HIRE_STATES: HI APPLY_URL: https://www.usajobs.gov:443/job/868462500 EXCERPT: Lead Laundry Machine Operator, NL-05 Honolulu, Hawaii Summary Serves as a Lead Laundry Machine Operator in the Laundry Department of the Hale Koa Hotel. Local candidates will be reviewed first as PCS is not authorized. If determined that the area of consideration is to be expanded, all candidates will be considered. First cut off on June 16, 2026. Additional lists will be pulled after this 1st cutoff at the request of the hiring manager. Duties Serves as working laundry machine operator leader, setting the work pace for 12 - 15 laundry machine operators and laundry workers. Highest level of worker led is NA-7305-05 Laundry Machine Operator. As needed demonstrates the proper work techniques to new employees or current employees requiring additional training. Checks work in progress to ensure safety and housekeeping rules are followed. Operates 4 to 8 commercial type washing machines for a variety of purposes, e.g. to laundry, dye, starch or treat articles with water repellent and fire retardant. Knows the formulas used for various types and degrees of soiled laundry. Insures washers are loaded according to the capacity of the machine. Processes different types of laundry involving differences in water temperatures, numbers and timing of cycles and addition of bleaches, souring, bluing, alkali, etc. at various stages. Unloads washers into proper transport for movement to other departments. Performs other duties as assigned. Evaluation Your Application Matters: How We Will Review It We want to help you put your best foot forward! Please take time to carefully follow --- TITLE: Coffee Machine Service Technician - Contact Center EMPLOYER: Nestle LOCATION: Country Philippines (hybrid) SALARY: Not disclosed POSTED: 2026-06-12 PARENTAL_LEAVE_WEEKS: 4 (not source-backed) NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed) APPLY_URL: https://jobdetails.nestle.com/job/Meycauayan-Coffee-Machine-Service-Technician-Contact-Center-3020/1375459133/ EXCERPT: Coffee Machine Service Technician - Contact Center Country Philippines Location: Meycauayan, Bulacan, PH Company: Nestlé Integrated Business Services, Inc. Full-time | Hybrid: Twice a week onsite Position Summary The Coffee Machine Service Technician - Contact Center plays a critical dual function: providing frontline technical support to Nestlé Professional customers through a multi-channel contact center, and supporting backend technical operations, including trade asset management, machine performance, contractor coordination, and quality compliance. This role ensures seamless technical assistance, efficient issue resolution, and outstanding customer experience while upholding Nestlé's operational, quality, and safety standards. Main Purpose of the Job Deliver technical machine assistance, troubleshooting, and customer support via inbound/outbound calls, email, WhatsApp, and other channels. Provide backend technical support including machine tracking, M&R reporting, contractor coordination, and trade asset quality compliance. Ensure accurate case logging in C4C and provide timely, high-quality resolution of customer issues. Support implementation of technical systems and continuous improvement initiatives. Key Responsibilities Deliver Technical Contact Center Support: Handle technical inquiries, complaints, and service requests across phone, email, WhatsApp, and other channels while ensuring accurate case logging, timely responses, and high first‑time‑fix rates. Manage Trade Assets & Machine Performance: Track machine deployment, usage, and p --- TITLE: Machine Learning: Whole-Body Control EMPLOYER: The Bot Company LOCATION: San Francisco (unspecified) SALARY: Not disclosed POSTED: 2026-02-25 APPLY_URL: https://jobs.ashbyhq.com/thebotcompany/69c93a4a-161a-49c9-89bc-4c3e0c4716e6 EXCERPT: Machine Learning: Whole-Body Control San Francisco The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. What we look for in all candidates All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. Machine Learning: Whole-Body Control We are building high-performance whole-body controllers that produce robust, agile motion and manipulation in the real world. You will train low-level control policies in simulation and own the stack from environment design to large-scale training and sim-to-real deployment. What You'll Do - Train whole-body policies for locomotion, manipulation, and coordinated motion. - Build scalable simulation environments --- TITLE: Machine Learning and Artificial Intelligence PhD Internships EMPLOYER: Apple LOCATION: United States (unspecified) SALARY: Not disclosed POSTED: 2026-05-22 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.apple.com/en-us/details/200664223/machine-learning-and-artificial-intelligence-phd-internships?team=STDNT EXCERPT: Machine Learning and Artificial Intelligence PhD Internships United States Within Apple's Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life. Apple's fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. We do work in all fields of Machine Learning, including, but not limited to, large language models, diffusion models and reinforcement learning, as well as other related areas such as accessibility, privacy, and fairness. As an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Come collaborate with some of the best in the business and help build the world's most innovative products and experiences. In an AIML internship, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of our industry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership. Where appropriate, --- TITLE: Candidate Experience Partner EMPLOYER: Mind Robotics LOCATION: Palo Alto, California, United States (unspecified) SALARY: Not disclosed POSTED: 2026-05-06 APPLY_URL: https://jobs.ashbyhq.com/mindrobotics/b6579f01-3703-49b1-8aad-f0d7b6a732d2 EXCERPT: Candidate Experience Partner Palo Alto, California, United States Mind Robotics Mind Robotics is building the full-stack platform for AI-enabled industrial robotics -- the foundation models, purpose-built hardware, and deployment infrastructure to automate the manufacturing work that has resisted automation for decades. We were founded by RJ Scaringe and spun out of Rivian in 2025, with $615M+ raised from Eclipse, Accel, and Andreessen Horowitz. Our first robots go into Rivian's plant this year. The scale of what we're building from there is large. The Role We are looking for a Candidate Experience Partner to join our team and partner directly with Recruiters, Sourcers, and Hiring teams to support our hiring experience. As our first hire in this function, you will own the end-to-end logistics of the interviewing process. This includes managing everything from technical screens to complex, multi-stage executive loops. You will act as the primary point of contact for candidates, ensuring they receive a "white-glove" experience that reflects our brand's commitment to excellence and detail. Because you are the first person in this seat, you have a seat at the table in defining what "Candidate Experience" looks like at Mind Robotics. You aren't just an administrator; you are a critical partner in how we scale our culture and land the leadership talent that will define our future. What You'll Do - Own the Logistics: Coordinate complex interview schedules across multiple time zones, ensuring a seamless flow for both the candidate and the hiring team. - Executive Partnership: Work closely with --- TITLE: Machinist IV EMPLOYER: General Atomics LOCATION: Location not specified (unspecified) SALARY: Not disclosed POSTED: 2026-06-10 K401_MATCH: yes (not source-backed) APPLY_URL: https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25539&siteid=5313&PageType=JobDetails&jobid=5212852 EXCERPT: Machinist IV General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. This position is responsible for performing complex functions related to machine tools. Plans, lays out work, sets up and operates all types of lathes, mills or grinders to machine or grind developmental, production or maintenance parts to exacting tolerances and dimensions. Expected to provide guidance or training to equal or lower level machinists. DUTIES AND RESPONSIBILITIES: - 2nd Shift - Plans sequence of machine operation as required using drawings, sketches or other written or verbal instructions. - Ideal candidate to have knowledge in CAM system programming IE. Mastercam, Hypermill etc. along with knowledge in CNC setup on mill or lathe operations. - Reviews engineering drawings, sketches, graphic illustrations or verbal/written correspondence to compute angular and linear dimensions. Determines cutting tools to be used, method of holding, and machine speeds and feeds. - May monitor and verify quality of work performed by equal or lower level personnel, such as first part inspection. - Sets up tooling and production stock to be machined using a wide variety of both conventional and CNC machining equipment to perform machining of complex parts by drilling, reaming, boring, tapping, slotting, and dovetailing on ferrous and non-ferrous metals and their alloys. - Designs, fabricates, and/or improvises tooling, and tooling aids to assist in machine setups utilizing various shop equipment. - Performs preventive maintenance --- TITLE: Senior Manager - AI Data Operations EMPLOYER: Apple LOCATION: Austin, United States of America (unspecified) SALARY: Not disclosed POSTED: 2026-03-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.apple.com/en-us/details/200650419/senior-manager-ai-data-operations?team=SFTWR EXCERPT: Senior Manager - AI Data Operations Austin, United States of America Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to develop a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. Apple's Retail Decision Automation team is looking for an outstanding and experienced Program Manager of AI Data Operations who is passionate about delivering production-grade machine learning and analytics solutions. You'll partner across technical and program teams to manage an organization of data domain experts. Our work in decision automation powers a broad portfolio of Retail initiatives, all with the common goal of enriching and reimagining our customer experience. You will lead an organization of internal domain experts, building scalable --- TITLE: Lead Machine Learning Engineer (Manager IC) EMPLOYER: Capital One Financial Corporation LOCATION: 4 Locations (unspecified) SALARY: Not disclosed POSTED: 2026-06-11 K401_MATCH: yes (not source-backed) APPLY_URL: https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/McLean-VA/Lead-Machine-Learning-Engineer--Manager-IC-_R244376-1 EXCERPT: Lead Machine Learning Engineer (Manager IC) 4 Locations posted: Posted Yesterday --- TITLE: Software Development Engineer - II, FinTech - Machine Learning EMPLOYER: Amazon LOCATION: Hyderabad, Telangana, IND (unspecified) SALARY: Not disclosed POSTED: 2026-06-11 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/10446957/software-development-engineer-ii-fintech-machine-learning EXCERPT: Software Development Engineer - II, FinTech - Machine Learning Hyderabad, Telangana, IND Do you want to be part of a team building machine learning applications that process and analyze transactions worth billions of dollars a day using the latest technology? Do you want to make a tangible impact measured in terms of millions of dollars saved? In our Finance Technology group, we develop machine learning systems that scrutinize billions of dollars in transactions from across Amazon's businesses. Our mission is to drive wider adoption of machine learning solutions for finance processes. We build applications utilizing advanced techniques like forecasting, classification, and anomaly detection. Our current projects range from identifying anomalies in data to predicting optimal cash levels for accounts. We utilize the newest tools and technologies such as Generative AI and Large Language Models. On a typical day, you'll collaborate closely with machine learning scientists, fellow software engineers, and finance teams across Amazon. You'll work with massive datasets in the terabytes range, developing robust machine learning pipelines to process billions in transaction value. We emphasize partnering with our internal customers, so you'll interact directly with them to understand requirements and get feedback. Our team thrives on innovation, and we're open to new approaches. You'll have opportunities to test your ideas in production environments dealing with real financial data and processes. Join us to apply advanced machine learning capabilities that drive efficiencies and insights for Amazon's finance operations at a massive scale. Key job responsibilities In this role, you will participate --- TITLE: Applied Research Scientist, Proactive Intelligence, — Agentic Systems and Generative Modeling EMPLOYER: Apple LOCATION: Cupertino, United States of America (unspecified) SALARY: $181K-$318K POSTED: 2026-03-11 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.apple.com/en-us/details/200651116/applied-research-scientist-proactive-intelligence-agentic-systems-and-generative-modeling?team=MLAI EXCERPT: Applied Research Scientist, Proactive Intelligence, — Agentic Systems and Generative Modeling Cupertino, United States of America AI represents a big opportunity to elevate Apple's products and experiences for billions of people globally. We are looking for Applied Research Scientists with a background and interest in Agentic Systems. You will be leveraging state-of-the-art Generative models to ship extraordinary products, services, and customer experiences for the iPhone, Mac, Apple Watch, iPad and more. The mission of Proactive Intelligence is to improve Apple platforms by better understanding, anticipating and adapting to user behavior by using machine learning to build phenomenal features that are built right into Apple platforms. Our team provides an opportunity to be part of an incredible research and engineering organization within Apple. The ideal candidate for this role will have industry experience working on a range of modeling problems, including Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Learning from Human Preferences and Training Large Language Models (LLMs). Working knowledge of large-scale data processing especially with structured data, probabilistic modeling and statistics will broaden your role and effectiveness in this position. As an Applied Research Scientist on our team, you will design and implement ML algorithms that process data in different Apple products. You will train Generative AI models and Agentic systems using deep reinforcement learning to solve hard problems. Where necessary, you will also work on integrating ML/RL frameworks into our products to train large-scale agents and leverage cloud services to enable scalable and distributed training/simulation of agent behaviors. You --- TITLE: Manufacturing Engineer (Raptor Combustion Devices Machining) EMPLOYER: SpaceX LOCATION: Hawthorne, CA (unspecified) SALARY: $100K-$118K POSTED: 2026-05-28 PARENTAL_LEAVE_WEEKS: 3 (not source-backed) APPLY_URL: https://boards.greenhouse.io/spacex/jobs/8568146002?gh_jid=8568146002 EXCERPT: Manufacturing Engineer (Raptor Combustion Devices Machining) Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. MANUFACTURING ENGINEER (RAPTOR COMBUSTION DEVICES MACHINING) As a Manufacturing Engineer for Raptor machining, you will have the opportunity to influence, scale, and solve challenging problems relating to the production of Raptor machined piece parts and processing. The ideal candidate will thrive in a fast-paced environment with ever-changing scope and focus areas. This individual understands how to best design for manufacturing and will conceptualize/implement full-scale production processes for machining our critical hardware within production rate and cost goals. RESPONSIBILITIES: - Identify, develop, and implement machining processes to help solve for engine cost, quality, and production rate - specifically focused on valve, turbopump, thrust chamber or injector hardware. - Work between manufacturing and design engineers, machinists, technicians, and quality to ensure processes are robust and any production problems are quickly solved. - Partner with design to identify and implement design for manufacturing (DFM) updates at both the piece part and system level, own change management into production. - Aggressively implement machining process controls that allow parts to run 'lights out'. Leverage latest technologies and programming strategies to reduce in-cycle intervention. - Be responsible for part or part family quality; understand quality landscape, and drive projects to ensure --- TITLE: CNC Machine Operator Sr EMPLOYER: General Dynamics LOCATION: Marion, VA, US (unspecified) SALARY: Not disclosed POSTED: 2026-06-10 K401_MATCH: yes (not source-backed) APPLY_URL: https://careers-gdms.icims.com/jobs/72676/cnc-machine-operator-sr/job EXCERPT: CNC Machine Operator Sr Marion, VA, US Basic Qualifications High school diploma or GED. One year work experience with CNC equipment in a manufacturing environment. Department of Defense Secret security clearance is preferred at time of hire. Candidates must be able to obtain a Secret clearance within a reasonable amount of time from date of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position REPRESENTATIVE DUTIES AND TASKS: Mount, secure, and indicate fixtures and workpiece on machine. Selects and installs cutting tools in machine. Calls up specified program, loads control media such as disk in machine, or enters actual programming code commands as required. Calculates and sets machine controls to position spindle in relationship to workpiece and to regulate factors such as cutting depth and speed, may also perform preliminary dry run. Monitor displays, coolant flow, and machine operation. Establishes offsets. Verifies conformance of machined workpiece to specifications using height gages, surface plates, dial gage, micrometer, calipers, and gage pin. Operate manual mill to ream and countersink holes. Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting --- TITLE: CNC Machine Operator - Greenville, AL EMPLOYER: Hubbell Incorporated LOCATION: Greenville, AL (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://careers.hubbell.com/job/Greenville-CNC-Machine-Operator-Greenville%2C-AL-AL-36037-2435/1376651900/ EXCERPT: CNC Machine Operator - Greenville, AL Greenville, AL Job Overview Responsible for operating the CNC machines, to manufacture quality parts consistent with current safety, ISO, Quality, and housekeeping requirements. CNC operators will have skills and qualifications related to the field of computers, machinery and product creation. A Day In The Life Able to read calipers Able to read CNC prints understanding dimensions to .000 Able to fill out paperwork (quality forms, daily inspections forms etc.) Able to use hand tools (air guns, wrenches, drill press, etc.) Calculate speeds and feeds according to the material Validate machine programs and work instructions before machining to assure accuracy of operations Document actions by completing work order routings Work as a team player with others in a demanding fast-paced environment to meet frequently changing production Report problems to responsible management levels Meet established company production goals Maintain safe operations by adhering to safety policies and procedures Functional knowledge of FANUC and Mazak controlled CNC machines All other tasks as assigned by company. What will help you thrive in this role? Able to operator one or more machines as required Understand machine controls (start, stop, E-stop, etc.) Strong math skills for inputting specific dimensions and figures into the CNC machinery Ability to analyze the information provided on blueprints or other explanatory documents to make sure the final product matches the draft Strong computer skills as CNC operat --- TITLE: Emerging Impacts Manager, DeepMind EMPLOYER: DeepMind LOCATION: London, UK (unspecified) SALARY: Not disclosed POSTED: 2026-06-03 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=CiUAL2FckX1Xdr6yrLELFNgphWQetiarwhdoI8rbrpSCPZ8hZwTgEjsACxwdTAODDvMR0KXXI2hH8x5eLUksRbnWHeEEZk1hKVCQ_6gW4mO_NwCfqnGCYabo5r5s0nfBImy3_w%3D%3D_V2&loc=GB&title=Emerging+Impacts+Manager EXCERPT: Emerging Impacts Manager, DeepMind London, UK As an Emerging Impacts Manager, you will deliver tangible, grounded, and forward-looking intelligence for teams across DeepMind; ultimately, you will advance our mission to develop Artificial General Intelligence (AGI) responsibly for the greater good of humanity. In this role, you will work with technical and operational teams at DeepMind to consider the potential downstream impacts of DeepMind's research and its applications. You will ensure that our work is conducted in line with ethics and safety best practices, helping DeepMind to progress towards its mission. You will build on your technical knowledge of AI models across various domains to assess their safety performance and real-world impact, sharing analysis to advise various DeepMind stakeholders, including our responsibility and safety council. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Lead ethics and safety reviews of projects and engage early with model teams to assess downstream societal implications and navigate governance considerations. Collaborate closely with DeepMind safety communities and broader teams to inform model policy, --- TITLE: Machine Learning and Artificial Intelligence Undergrad Internships EMPLOYER: Apple LOCATION: United States (unspecified) SALARY: Not disclosed POSTED: 2026-05-21 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.apple.com/en-us/details/200664780/machine-learning-and-artificial-intelligence-undergrad-internships?team=STDNT EXCERPT: Machine Learning and Artificial Intelligence Undergrad Internships United States Within Apple's Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life. Apple's fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. We do work in all fields of Machine Learning, including, but not limited to, large language models, diffusion models and reinforcement learning, as well as other related areas such as accessibility, privacy, and fairness. As an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Come collaborate with some of the best in the business and help build the world's most innovative products and experiences. In an AIML internship, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of our industry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership. Minimum Qualifications: --- TITLE: Head of Marketing EMPLOYER: Gensyn LOCATION: Remote (remote) SALARY: Not disclosed POSTED: 2026-03-11 APPLY_URL: https://job-boards.eu.greenhouse.io/gensyn/jobs/4794894101 EXCERPT: Head of Marketing Remote Machine intelligence will soon take over humanity's role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence. The Role - We're looking for a strategic and hands-on Marketing Leader to build and lead Gensyn's marketing function. This is a hybrid role at the intersection of product marketing, content creation, and community engagement. You'll define and execute our go-to-market strategy, lead a world-class team, and represent a first-of-its-kind technology at the cutting edge of AI and blockchain Responsibilities - Set the vision and strategy for Gensyn's marketing function - Build, lead, and mentor a high-performing team across product marketing, content development, and community engagement - Drive go-to-market execution for technical products, including messaging, positioning, and launch strategies - Partner with engineering and product to translate complex ideas into compelling narratives for technical audiences - Represent Gensyn externally - in content, at conferences, and in developer communities - Manage marketing budgets and resources to maximize reach, adoption, and impact - Define success metrics and own performance across all marketing verticals Competencies Must have --- TITLE: Manufacturing Engineer (Raptor Turbomachinery Machining) EMPLOYER: SpaceX LOCATION: Hawthorne, CA (unspecified) SALARY: $100K-$115K POSTED: 2026-05-22 PARENTAL_LEAVE_WEEKS: 3 (not source-backed) APPLY_URL: https://boards.greenhouse.io/spacex/jobs/8561583002?gh_jid=8561583002 EXCERPT: Manufacturing Engineer (Raptor Turbomachinery Machining) Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. MANUFACTURING ENGINEER (RAPTOR TURBOMACHINERY MACHINING) As a Manufacturing Engineer for Raptor machining, you will have the opportunity to influence, scale, and solve challenging problems relating to the production of Raptor machined piece parts and processing. The ideal candidate will thrive in a fast-paced environment with ever-changing scope and focus areas. This individual understands how to best design for manufacturing and will conceptualize/implement full-scale production processes for machining our critical hardware within production rate and cost goals. RESPONSIBILITIES: - Identify, develop, and implement machining processes to help solve for engine cost, quality, and production rate - specifically focused on valve, turbopump, thrust chamber or injector hardware. - Work between manufacturing and design engineers, machinists, technicians, and quality to ensure processes are robust and any production problems are quickly solved. - Partner with design to identify and implement design for manufacturing (DFM) updates at both the piece part and system level, own change management into production. - Aggressively implement machining process controls that allow parts to run 'lights out'. Leverage latest technologies and programming strategies to reduce in-cycle intervention. - Be responsible for part or part family quality; understand quality landscape, and drive projects to ensure dimensions meet --- TITLE: Principal Software Engineer - Agentic AI EMPLOYER: Neural Magic LOCATION: 2 Locations (unspecified) SALARY: Not disclosed POSTED: 2026-06-10 APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Principal-Software-Engineer---Agentic-AI_R-056934-1 EXCERPT: Principal Software Engineer - Agentic AI 2 Locations posted: Posted 2 Days Ago --- TITLE: AIML - Machine Learning Researcher, MLR EMPLOYER: Apple LOCATION: Cupertino, United States of America (unspecified) SALARY: $147K-$272K POSTED: 2026-04-13 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.apple.com/en-us/details/200657534/aiml-machine-learning-researcher-mlr?team=MLAI EXCERPT: AIML - Machine Learning Researcher, MLR Cupertino, United States of America Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple. Minimum Qualifications: Demonstrated expertise in machine learning research. Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc). Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch. Strong mathematical skills in linear algebra and statistics. PhD, or equivalent practical experience, in Computer Science, --- TITLE: AI Coach EMPLOYER: Multiverse LOCATION: Remote (UK), UK, London (remote) SALARY: Not disclosed POSTED: 2026-05-18 APPLY_URL: https://jobs.ashbyhq.com/multiverse/17a97d3e-6037-43e4-8224-306b1a81324b EXCERPT: AI Coach Remote (UK), UK, London Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an AI Cohort Coach you will be responsible for guiding the learning experience for apprentices and helping them reach their full potential. Your role will be focusing on personalised coaching, where you'll be supporting apprentices across multiple businesses to become the next generation of business leaders. Specifically, You Will - Guide apprentices to successful, timely completion of their programme. - Master group and individualised coaching techniques to enhance apprentice learning. - Adhere to coach quality frameworks to ensure a consistent level of quality for every coaching session and --- TITLE: AI Research Scientist EMPLOYER: Motorola Solutions, Inc. LOCATION: Bangalore, India (ZIN122) (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 PARENTAL_LEAVE_WEEKS: 13 (not source-backed) NON_BIRTH_PARENT_LEAVE_WEEKS: 13 (not source-backed) K401_MATCH: yes (not source-backed) APPLY_URL: https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Bangalore-India-ZIN122/AI-Research-Scientist_R64110 EXCERPT: AI Research Scientist Bangalore, India (ZIN122) posted: Posted 30+ Days Ago --- TITLE: Production Machinist (Starlink) - 2nd Shift - Level 4/5 EMPLOYER: SpaceX LOCATION: Woodinville, WA (unspecified) SALARY: $38-$45/hr POSTED: 2026-05-26 PARENTAL_LEAVE_WEEKS: 0 (not source-backed) APPLY_URL: https://boards.greenhouse.io/spacex/jobs/8552304002?gh_jid=8552304002 EXCERPT: Production Machinist (Starlink) - 2nd Shift - Level 4/5 Woodinville, WA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. PRODUCTION MACHINIST (STARLINK) - 2ND SHIFT - LEVEL 4/5 As a CNC Production Machinist on the Ultra Precision Machining team, you will be responsible for manufacturing, developing, and continuously improving key technologies consisting of micron-level tolerance machined parts at production volumes. This is a unique and challenging opportunity to use world-class equipment, learn diamond turning, and work with some of the best and brightest in their fields. The scope of this team is to make the parts that other companies cannot and to continue to push the boundaries of what is possible to machine. RESPONSIBILITIES: - Responsible for setting up and operating multi-axis CNC machines, machining micron-level tolerance parts at production volumes - Responsible for maintaining maximum machine uptime by troubleshooting off-nominal issues such as resolving alarms, repairing tooling, and actively maintaining best practices - Responsible for troubleshooting - Responsible for completing machining operations from blueprints, drawings and/or verbal instructions - Responsible for working with complex, tight tolerance parts and various materials BASIC QUALIFICATIONS: - High school diploma or equivalency certificate - 5+ years of experience with g-code, set up, operation and/or programming of CNC mills/lathes - Experience working in production machining --- TITLE: CNC Machine Operator EMPLOYER: Hubbell Incorporated LOCATION: Greenville, AL (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://careers.hubbell.com/job/Greenville-CNC-Machine-Operator-AL-36037-2435/1385323500/ EXCERPT: CNC Machine Operator Greenville, AL Job Overview Responsible for operating the CNC machines, to manufacture quality parts consistent with current safety, ISO, Quality, and housekeeping requirements. CNC operators will have skills and qualifications related to the field of computers, machinery and product creation. A Day In The Life Able to read calipers Able to read CNC prints understanding dimensions to .000 Able to fill out paperwork (quality forms, daily inspections forms etc.) Able to use hand tools (air guns, wrenches, drill press, etc.) Calculate speeds and feeds according to the material Validate machine programs and work instructions before machining to assure accuracy of operations Document actions by completing work order routings Work as a team player with others in a demanding fast-paced environment to meet frequently changing production Report problems to responsible management levels Meet established company production goals Maintain safe operations by adhering to safety policies and procedures Functional knowledge of FANUC and Mazak controlled CNC machines All other tasks as assigned by company. What will help you thrive in this role? Able to operator one or more machines as required Understand machine controls (start, stop, E-stop, etc.) Strong math skills for inputting specific dimensions and figures into the CNC machinery Ability to analyze the information provided on blueprints or other explanatory documents to make sure the final product matches the draft Strong computer skills as CNC operat --- TITLE: Senior Product Manager - U.S. Growth EMPLOYER: Speck LOCATION: San Mateo, CA (unspecified) SALARY: $225K-$285K POSTED: 2026-05-19 K401_MATCH: yes (not source-backed) MENTAL_HEALTH_SUPPORT: yes (not source-backed) APPLY_URL: https://job-boards.greenhouse.io/glance/jobs/7915205 EXCERPT: Senior Product Manager - U.S. Growth San Mateo, CA Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Overview of the --- TITLE: Staff Applied Scientist, AI Quality & Meta Evaluation EMPLOYER: Apple LOCATION: Seattle, United States of America (unspecified) SALARY: $201K-$302K POSTED: 2026-05-04 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.apple.com/en-us/details/200661039/staff-applied-scientist-ai-quality-meta-evaluation?team=MLAI EXCERPT: Staff Applied Scientist, AI Quality & Meta Evaluation Seattle, United States of America Apple Services Engineering (ASE) powers AI and LLM features across App Store, Music, Video, and more. As these systems increasingly rely on LLM Judges and automated evaluators to score model performance at scale, the trustworthiness of those evaluation signals becomes mission-critical. We believe that to build exceptional LLMs, you need exceptional mechanisms to validate the signals used to train and evaluate them. As a Principal Applied Scientist on the Human Centered AI team, you will be the technical engine behind our Data Quality Validation framework. This is a high-impact individual contributor role for a scientist who wants to architect and build - not just advise. You will own the data science methodology underpinning our data quality validation models, design the statistical frameworks that govern judge reliability, and work hands-on to close the loop between automated evaluation and human ground truth. You will be the person who answers the hardest question in our stack: "Can we trust the evaluators that are evaluating our models?" Design, develop, and iterate on the reasoning agent that serves as our adjudicator, auditing Production LLM Judge outputs for hallucination, drift, and systematic bias Develop the statistical and ML approaches that detect when Production LLM Judges diverge from ground truth, including confidence calibration, entropy-based uncertainty quantification, and out-of-distribution detection Define the algorithms that determine what gets routed for deeper review, moving the team from random sampling to principled, risk-stratified smart sampling Design the hierarchical --- TITLE: CNC Machinist B EMPLOYER: Waters Corporation LOCATION: Milford, MA, US (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 APPLY_URL: https://uscareers-waters.icims.com/jobs/25167/cnc-machinist-b/job EXCERPT: CNC Machinist B Milford, MA, US Overview Waters Corporation is currently looking to hire a CNC Machinist to join our organization within our Global Machining Operations. This individual would join a large team of professionals who work within our world-class 50,000 square-foot Machining/Manufacturing facility. This facility includes over 90+ start of the art CNC machines and technologies. We are looking for a highly skilled and motivated machinist to work in our exciting, fast paced work environment utilizing a variety of CNC lathe and CNC Milling technologies to produce machined components for our biotechnology products. The position requires set-up and operation abilities of more than one multi-axis machine such as Mori NLX lathe, Kitamura milling machines, Robodrills, and Agie Charmilles EDM machines. Inspection of own and other associates parts, computer skills, ability to read and edit programs and make sound decisions when presented with issues is required. Excellent communication skills are paramount as working on multiple machines with associates is a required function. This opening is an second shift position for Monday - Thursday 3:00pm till 1:00am Responsibilities Follow written process and operate a variety of CNC machines with limited supervisor Set-up and operate CNC equipment and perform any other functions within the department that may be necessary. Inspect first piece and in process material utilizing visual and hand inspection equipment, which include: Vernier calipers, Micrometer and dro --- TITLE: Staff Research Scientist, Perception Research EMPLOYER: Waymo LOCATION: Mountain View, CA, USA ; Kirkland, WA, USA ; New York City, NY, USA (unspecified) SALARY: $251K-$310K POSTED: 2026-06-02 K401_MATCH: yes (not source-backed) APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7975025 EXCERPT: Staff Research Scientist, Perception Research Mountain View, CA, USA ; Kirkland, WA, USA ; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Principal Research Scientist. You will: - Use Multimodal LLMs to perform 3D detection - Develop and maintain scalable data pipelines for Training & Eval to process data from multiple sources. - --- TITLE: Labourer EMPLOYER: Timken Company LOCATION: Work Country Canada | State/Province Saskatchewan | Posting Location Saskatoon (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 APPLY_URL: https://careers.timken.com/job/Saskatoon-Labourer-Sask-S7K-8G8/1397830500/ EXCERPT: Labourer Work Country Canada | State/Province Saskatchewan | Posting Location Saskatoon Together, We'll Keep the World Moving Forward Standard Machine was founding in 1967 and acquired by Timken in 2013. Not everyone knows what Timken makes, but you'll recognize what Timken makes possible. We engineer sollutions that keep the world moving by offering products and services to keep the world's equipment, machinery, and vehicles in motion. At Standard Machine we design and manufacture high-quality parts, specializing in in gearing and drive train, for critical industries including pulp and paper, mining, oil and gas, chemical processing plants, steel mills, marine applications, transportation, military, and aerospace GEARED FOR EXCELLENCE Standard Machine offers the opportunity to develop unique skills in an environment that supports cross-training and personal development through diverse career paths. We are seeking a Labourer in our machine shop. Key Responsibilities Disassembly of large industrial bearings Bearing repair assessments Grinding and polishing of bearing components Assembly of repaired bearings Assist machinists and mechanics by cleaning machines, parts, and areas Read and interpret blueprints and engineered drawings Run variety of machines including slotters and hob sharpening machines Understand tool limitations and controls during operation Operate machines within tight tolerances and knowledge of feeds and speeds Measure precisely utilizing calipers and maintaining specifications Operate overhead crane and forklift Maintain equipment and ensures --- TITLE: CNC Operator III EMPLOYER: Ametek LOCATION: Work Location (Country) United States | Remote/Onsite Onsite (remote) SALARY: Not disclosed POSTED: 2026-06-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.ametek.com/job/Whitsett-CNC-Operator-III-NC-27377/1381344200/ EXCERPT: CNC Operator III Work Location (Country) United States | Remote/Onsite Onsite We are seeking an experienced CNC Operator III to join our 1st shift team. This role is responsible for producing machined parts by setting up computer numerical control (CNC) machines. The position is also accountable for maintaining quality and safety standards within the assigned work area and provides skilled support to all areas of the machine shop. What you will do: Proficiently operate and perform change-overs and set-up of all machines; Run multiple machines simultaneously while keeping all machines in the department operational and running efficiently. Select appropriate set-up tooling and fixtures for machines as needed; Adjust tooling and work off-sets and troubleshoot advanced and complex programs, and perform editing of current programs if needed. Write or develop programs for machines. Understand how to read and apply information from prints in order to produce parts within the desired specifications; Perform inspection and documentation of first-piece articles Load raw materials and unload completed parts; Measure and gauge parts based on print and quality plan for part being produced and make adjustments to assure parts are being run to accurate specifications Understand how to use measurement tools such as snap gage, digital calipers, micrometers, optical comparators, and other measuring instruments Communicate effectively and in a timely manner any delays or problems to the area leader; Actively promote cooperation and teamwork within and outside the departm --- TITLE: AI Automation Senior Lead EMPLOYER: Taskrabbit LOCATION: San Francisco, California, United States (unspecified) SALARY: $192K-$250K POSTED: 2026-04-30 K401_MATCH: yes (not source-backed) APPLY_URL: https://job-boards.greenhouse.io/taskrabbit/jobs/7782633 EXCERPT: AI Automation Senior Lead San Francisco, California, United States About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In - Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This is a hybrid role that will sit out of our San Francisco office. Hybrid in-office Tuesdays and Wednesdays of each week. About the Role We are looking for a builder to help lead our 'AI for Work' efforts. Together with the Director of AI Strategy and Enablement, you will build the internal AI infrastructure that makes our teams more efficient. That means building, evaluating vendors, and continuously evolving the AI systems our teams run on with the goal of maximizing every --- TITLE: AI Engineer EMPLOYER: Siemens Energy LOCATION: Location not specified (unspecified) SALARY: Not disclosed POSTED: 2026-06-10 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.siemens-energy.com/en_US/jobs/FolderDetail?folderId=291491&from=home EXCERPT: AI Engineer --- TITLE: Software Development Engineer, FinTech - Machine Learning EMPLOYER: Amazon LOCATION: Hyderabad, Telangana, IND (unspecified) SALARY: Not disclosed POSTED: 2026-06-04 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/10439823/software-development-engineer-fintech-machine-learning EXCERPT: Software Development Engineer, FinTech - Machine Learning Hyderabad, Telangana, IND Do you want to be part of a team building machine learning applications that process and analyze transactions worth billions of dollars a day using the latest technology? Do you want to make a tangible impact measured in terms of millions of dollars saved? In our Finance Technology group, we develop machine learning systems that scrutinize billions of dollars in transactions from across Amazon's businesses. Our mission is to drive wider adoption of machine learning solutions for finance processes. We build applications utilizing advanced techniques like forecasting, classification, and anomaly detection. Our current projects range from identifying anomalies in data to predicting optimal cash levels for accounts. We utilize the newest tools and technologies such as Generative AI and Large Language Models. On a typical day, you'll collaborate closely with machine learning scientists, fellow software engineers, and finance teams across Amazon. You'll work with massive datasets in the terabytes range, developing robust machine learning pipelines to process billions in transaction value. We emphasize partnering with our internal customers, so you'll interact directly with them to understand requirements and get feedback. Our team thrives on innovation, and we're open to new approaches. You'll have opportunities to test your ideas in production environments dealing with real financial data and processes. Join us to apply advanced machine learning capabilities that drive efficiencies and insights for Amazon's finance operations at a massive scale. Key job responsibilities In this role, you will participate in all --- TITLE: Senior Manufacturing Engineer, Machining EMPLOYER: Astranis LOCATION: San Francisco (unspecified) SALARY: $160K-$180K POSTED: 2024-12-14 APPLY_URL: https://job-boards.greenhouse.io/astranis/jobs/4426557006 EXCERPT: Senior Manufacturing Engineer, Machining San Francisco Astranis builds advanced satellites for high orbits, expanding humanity's reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe- large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization. Astranis has raised over $750 million from some of the world's best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA. Senior Manufacturing Engineer, Machining The Senior Manufacturing Engineer, Machining is responsible for the processes used to manufacture and inspect machined components for flight and developmental use. This includes working with design engineering teams to create and execute a rigorous design process to ensure machined components are made on-time and to the highest possible quality. You will work directly with the Astranis machinists, contract manufacturers, and internal quality teams to ensure machined components are made to the highest possible quality standard, including ownership of all processes and tooling used on the factory floor. The ideal candidate has experience across design and manufacturing of precision machined components, setting up and maintaining production processes with an emphasis on quality, --- TITLE: Inference Optimization ML Engineer EMPLOYER: Rhoda AI LOCATION: Mountain View, Mountain View,, California, United States (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 APPLY_URL: https://jobs.ashbyhq.com/rhoda-ai/5fbe9c15-342b-4d46-b1bf-34d99d2f243c EXCERPT: Inference Optimization ML Engineer Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for an Inference Optimization MLE to help build and operate the systems that make our foundation models run fast and efficiently in production. You'll be responsible for squeezing maximum performance out of large multimodal models, across cloud and on-robot deployment targets. You will working closely with research and robotics teams to close the gap between training and real-world deployment. What You'll Do - Own inference performance end-to-end - diagnose and improve latency, throughput, and efficiency of large foundation models in production - Build systematic performance attribution: latency decomposition (compute vs. memory bandwidth vs. I/O), bottleneck identification, and prioritization across model families - Apply and develop optimization techniques including quantization, pruning, distillation, operator fusion, and model compilation (e.g., TensorRT, torch.compile, XLA) - Optimize attention mechanisms, KV caching, and memory layouts for large multimodal models (vision, video, language, proprioception) - Work with kernel-level tooling (e.g., CUDA, Triton) to identify hotspots --- TITLE: Machine Learning and Artificial Intelligence Masters Internships EMPLOYER: Apple LOCATION: United States (unspecified) SALARY: Not disclosed POSTED: 2026-05-22 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.apple.com/en-us/details/200664221/machine-learning-and-artificial-intelligence-masters-internships?team=STDNT EXCERPT: Machine Learning and Artificial Intelligence Masters Internships United States Within Apple's Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life. Apple's fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. We do work in all fields of Machine Learning, including, but not limited to, large language models, diffusion models and reinforcement learning, as well as other related areas such as accessibility, privacy, and fairness. As an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Come collaborate with some of the best in the business and help build the world's most innovative products and experiences. In an AIML internship, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of our industry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership. Where appropriate, --- TITLE: Machine Learning Engineer (Foundation Models & Personalization) EMPLOYER: Eight Sleep LOCATION: San Francisco | OnSite (onsite) SALARY: Not disclosed POSTED: 2026-06-10 APPLY_URL: https://jobs.ashbyhq.com/eightsleep/ef81d491-6991-49f7-8195-d3de86d951b0 EXCERPT: Machine Learning Engineer (Foundation Models & Personalization) San Francisco | OnSite Join the Sleep Fitness Movement At Eight Sleep, we're on a mission to fuel human potential through optimal sleep. As the world's first sleep fitness company, we're redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don't just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn't passive - it's a powerful tool for living better. If you're tired of the ordinary and driven to build at the edge of what's possible, this is your moment. Join us and lead the movement that's transforming how the world sleeps and what we're all capable of when we wake up. High Standards. No Apologies We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset --- TITLE: AI Scientist EMPLOYER: GE HealthCare LOCATION: WA07-01-Bellevue-1100-112th Avenue NE (unspecified) SALARY: Not disclosed POSTED: 2026-05-18 K401_MATCH: yes (not source-backed) APPLY_URL: https://gehc.wd5.myworkdayjobs.com/GEHC_ExternalSite/job/WA07-01-Bellevue-1100-112th-Avenue-NE/AI-Scientist_R4025439 EXCERPT: AI Scientist WA07-01-Bellevue-1100-112th Avenue NE posted: Posted 25 Days Ago --- TITLE: Senior Machine Learning Operations Engineer (Remote) EMPLOYER: The Athletic LOCATION: United States (remote) SALARY: $140K-$150K POSTED: 2026-01-29 LEARNING_BUDGET_OFFERED: yes (not source-backed) APPLY_URL: https://jobs.lever.co/theathletic/131761d5-4711-4afc-bd7c-37070952ad45 EXCERPT: Senior Machine Learning Operations Engineer (Remote) United States About Us Powered by one of the largest global newsrooms in sports media, The Athletic brings sports fans the most comprehensive stories about the teams, sports and athletes they love. The Athletic's newsroom of 500+ full-time staff delivers in-depth coverage of hundreds of professional and college teams across more than 47 North American markets and all 20 football clubs in the English Premier League, as well as many Championship clubs. About the Role We are looking for a senior machine learning operations engineer who understands data pipelines, infrastructure, and model monitoring. In this role, you will work closely with our data science and data engineering teams to help us productionize and maintain advanced machine learning models. As the first machine learning operations engineer on our small data science team, your work will be critical to both the data team at The Athletic and the company as a whole. This role is 100% remote for candidates currently residing in either the United States or Canada. About the Role We are looking for a senior machine learning operations engineer who understands data pipelines, infrastructure, and model monitoring. In this role, you will work closely with our data science and data engineering teams to help us productionize and maintain advanced machine learning models. As the first machine learning operations engineer on our small data science team, your work will be critical to both the data team at The Athletic and the company as a whole. --- TITLE: AIML - Machine Learning Researcher, MLR EMPLOYER: Apple LOCATION: Cupertino, United States of America (unspecified) SALARY: $212K-$386K POSTED: 2026-04-27 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.apple.com/en-us/details/200660283/aiml-machine-learning-researcher-mlr?team=MLAI EXCERPT: AIML - Machine Learning Researcher, MLR Cupertino, United States of America Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple. Minimum Qualifications: Demonstrated expertise in machine learning research Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc) Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch Strong mathematical skills in linear algebra and statistics Preferred Qualifications: Ability to formulate a research --- TITLE: Operations EMPLOYER: Human Archive LOCATION: Global (unspecified) SALARY: Not disclosed POSTED: 2026-06-10 APPLY_URL: https://jobs.ashbyhq.com/humanarchive/1034b7e6-8280-4b1c-975e-b1e146070d99 EXCERPT: Operations Global ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY This role is ideal for someone early in their career (1-5 years of experience, or an exceptional dropout) who wants real operational ownership, not a rotational apprenticeship. You'll work --- TITLE: Machine Learning Scientist EMPLOYER: Suno LOCATION: Boston, Mass, United States, San Francisco (unspecified) SALARY: $160K-$280K POSTED: 2024-05-21 PARENTAL_LEAVE_WEEKS: 16 (not source-backed) K401_MATCH: yes (not source-backed) MATCH_401K_PCT: 3 LEARNING_BUDGET_OFFERED: yes (not source-backed) APPLY_URL: https://jobs.ashbyhq.com/suno/1e23d125-d72c-49b6-891d-77d62c96cd13 EXCERPT: Machine Learning Scientist Boston, Mass, United States, San Francisco About Suno We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it's incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). About the Role We're looking for early members of our research team. You'll work closely with the founding team and have ownership of a wide variety of technical decisions on how we build and deploy our state of the art ML models trained with an H100/scientist ratio of >100x. Check out our Suno version of the job here: https://suno.com/s/YaZAme1qvoqFJOi1 What You'll Need - 5+ years experience training state of --- TITLE: Production Machinist (Starlink) - 1st Shift - Level 4/5 EMPLOYER: SpaceX LOCATION: Woodinville, WA (unspecified) SALARY: $38-$45/hr POSTED: 2026-05-26 PARENTAL_LEAVE_WEEKS: 0 (not source-backed) APPLY_URL: https://boards.greenhouse.io/spacex/jobs/8552292002?gh_jid=8552292002 EXCERPT: Production Machinist (Starlink) - 1st Shift - Level 4/5 Woodinville, WA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. PRODUCTION MACHINIST (STARLINK) - 1ST SHIFT - LEVEL 4/5 As a CNC Production Machinist on the Ultra Precision Machining team, you will be responsible for manufacturing, developing, and continuously improving key technologies consisting of micron-level tolerance machined parts at production volumes. This is a unique and challenging opportunity to use world-class equipment, learn diamond turning, and work with some of the best and brightest in their fields. The scope of this team is to make the parts that other companies cannot and to continue to push the boundaries of what is possible to machine. RESPONSIBILITIES: - Responsible for setting up and operating multi-axis CNC machines, machining micron-level tolerance parts at production volumes - Responsible for maintaining maximum machine uptime by troubleshooting off-nominal issues such as resolving alarms, repairing tooling, and actively maintaining best practices - Responsible for troubleshooting - Responsible for completing machining operations from blueprints, drawings and/or verbal instructions - Responsible for working with complex, tight tolerance parts and various materials BASIC QUALIFICATIONS: - High school diploma or equivalency certificate - 5+ years of experience with g-code, set up, operation and/or programming of CNC mills/lathes - Experience working in production machining --- TITLE: Senior Machine Learning Engineer EMPLOYER: GiveCampus LOCATION: United States (unspecified) SALARY: Not disclosed POSTED: 2026-02-05 APPLY_URL: https://job-boards.greenhouse.io/givecampus/jobs/4114047009 EXCERPT: Senior Machine Learning Engineer United States GiveCampus is the world's leading fundraising platform for non-profit educational institutions. Trusted by millions of donors and 1,300+ colleges, universities, and K-12 schools, our mission is to help advance the quality, the affordability, and the accessibility of education. At our current pace, we will facilitate $100 billion in charitable giving over the next decade-enough money to send more than 1 million students to college, tuition-free. GiveCampus is backed by leading investors including Y Combinator, but we're also practitioners of Sustainable Growth : we've made the Inc. 5000 list of America's fastest-growing private companies each of the last five years and we've been profitable nine of the last 10. In 2025, we celebrated a $140 million growth investment that included a major liquidity event for GiveCampus employees-the second in less than three years. Our purpose-driven team of 130+ is located in 30+ states across the US: team members work from anywhere they choose. We have a beautiful 12,000sf office in Washington, DC that is available for people to use whenever they want, and we regularly organize team meet-ups, visit partner institutions, and host retreats in various locations. While we operate at meaningful scale, we're still small relative to the commercial and social good opportunities in front of us. Every GiveCampus employee plays a meaningful role in shaping what comes next, and we're growing the team in support of our ambitious plans-including a $100 million investment in AI product development. If you believe in the transformative --- TITLE: CNC Machine Operator EMPLOYER: Owens Corning LOCATION: Fort Mill, SC (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://careers.owenscorning.com/job/Fort-Mill-CNC-Machine-Operator-SC-29708/1304690000/ EXCERPT: CNC Machine Operator Fort Mill, SC Night Shift: Monday - Thursday 8:00pm-6:30am Hourly Rate: $23 plus shift differential The CNC/Router Operator is responsible for setting up, programming, operating, and tend to the computerized woodworking machine (CNC Router). Responsible for starting the router, adjusting controls, and making trial cuts to ensure proper accuracy. Must be able to determine product specifications and materials, work methods, and machine setup requirements, according to blueprints and work orders. The operator feeds doors into CNC machine to produce desired routing and adjust CNC machine tables or cutting devices and set controls to produce specified cuts or operations. The operator is also responsible for monitoring operation of the CNC machine and adjust machine to correct problems and ensure conformance to specifications. Inspects and marks completed work pieces and stack them on pallets, so that they can be moved to the next workstation. Verifies quality of all completed products and monitors production. Uses Masterpack data entry (scrap, reloads, production). Including Material Handler responsibilities: Staging product into CNC loader based on WIP schedule, wrap, label and stage all completed product, Remove and dispose of all cutout debris from machinery. KEY DELIVERABLES Safety: Enforce safety practices, tolerance to zero attitude, maintain safety engagement. Quality: Understand the standards & requirements, work with precision and attention to details. Delivery: Just in time production --- TITLE: Data Engineer, People Analytics EMPLOYER: Notion LOCATION: San Francisco, California, San Francisco, California, United States (unspecified) SALARY: $213K-$250K POSTED: 2026-04-14 NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed) APPLY_URL: https://jobs.ashbyhq.com/notion/a1216dba-e175-4a3d-b712-401c9fbdcd92 EXCERPT: Data Engineer, People Analytics San Francisco, California, San Francisco, California, United States Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About The Role As Notion scales, there is a unique opportunity to build the data foundations for People Analytics that enable better decisions around hiring, performance, compensation, and org design - while maintaining strong privacy guarantees for sensitive employee data. In this role, you will design, build, and operate scalable data systems and pipelines that power People data. Your work will ensure that employee data is reliable, secure, and production-ready, enabling both analytics and AI-driven people workflows across the company What You'll Achieve - Partner closely with the Chief People Officer and --- TITLE: Manager, Machine Learning Engineering (Fraud) EMPLOYER: Affirm LOCATION: Remote US (remote) SALARY: Not disclosed POSTED: 2026-06-12 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://job-boards.greenhouse.io/affirm/jobs/7710178003 EXCERPT: Manager, Machine Learning Engineering (Fraud) Remote US --- TITLE: Software Engineer, New Grad EMPLOYER: Notion LOCATION: San Francisco, California, San Francisco, California, United States (unspecified) SALARY: $126K-$146K POSTED: 2026-04-23 NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed) APPLY_URL: https://jobs.ashbyhq.com/notion/a6311f97-4850-4674-a5f3-d9fe5f6f2555 EXCERPT: Software Engineer, New Grad San Francisco, California, San Francisco, California, United States Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About The Role As an engineer at Notion, you'll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We're hiring new grad engineers to join us across several teams at Notion. Your recruiter will partner --- TITLE: Machine Apprentice EMPLOYER: Amcor LOCATION: ACD Lewisburg TN (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://amcor.wd5.myworkdayjobs.com/Amcor_External_Career_Site/job/ACD-Lewisburg-TN/Machine-Apprentice_REQ_83794 EXCERPT: Machine Apprentice ACD Lewisburg TN posted: Posted 30+ Days Ago --- TITLE: Solutions Engineer, EMEA EMPLOYER: Notion LOCATION: Dublin, Ireland, Dublin, Ireland (unspecified) SALARY: EUR 119K-133K POSTED: 2025-09-04 NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed) APPLY_URL: https://jobs.ashbyhq.com/notion/6ad34426-b980-436b-80c4-3634c00094ad EXCERPT: Solutions Engineer, EMEA Dublin, Ireland, Dublin, Ireland Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About The Role The Notion sales organisation has a strong Product Led Growth lean, with many customers entering our funnel through our self-service motion before our product grows toward being a wall-to-wall solution. As we grow, more and more prospects are investigating how Notion can integrate with their existing tech stack, replace existing solutions, or be deployed in large or phased implementation to support desired business goals. As an early member of the Solutions Engineering team, you will: - Partner with members of the sales org on customer engagements with prospective and existing customers - Respond to --- TITLE: Senior Scientist - Artificial Intelligence EMPLOYER: GE Vernova LOCATION: Niskayuna (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 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://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Senior-Scientist---Artificial-Intelligence_R5023296-2 EXCERPT: Senior Scientist - Artificial Intelligence Niskayuna posted: Posted 30+ Days Ago --- TITLE: Machine Packer EMPLOYER: Amcor LOCATION: RPSNA Morgantown PA (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://amcor.wd5.myworkdayjobs.com/Amcor_External_Career_Site/job/RPSNA-Morgantown-PA/Machine-Packer_REQ_84864 EXCERPT: Machine Packer RPSNA Morgantown PA posted: Posted 30+ Days Ago --- TITLE: Manager, Machine Learning Engineering (Underwriting) EMPLOYER: Affirm LOCATION: Remote Canada (remote) SALARY: Not disclosed POSTED: 2026-06-12 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://job-boards.greenhouse.io/affirm/jobs/7723638003 EXCERPT: Manager, Machine Learning Engineering (Underwriting) Remote Canada --- TITLE: Founding Marketer EMPLOYER: Brainbase Labs LOCATION: San Francisco | OnSite (onsite) SALARY: Not disclosed POSTED: 2026-06-10 APPLY_URL: https://jobs.ashbyhq.com/brainbaselabs/2cb07ced-be5a-4bb9-98dc-6bee7027099a EXCERPT: Founding Marketer San Francisco | OnSite About Brainbase Labs We're building the first AI Workforce. We believe every company will soon have AI Employees working alongside their human team-handling conversations, operations, and workflows end-to-end. Brainbase is the platform that makes this possible. In just over a year, we've grown from zero to $XM+ ARR, with customers ranging from fast-growing SMBs to Fortune 50 enterprises. We're well-funded and backed by top investors, and our team is a multi-national team coming from Harvard, Stanford, Berkeley, and more. We care about results, ownership, and hunger. We're scaling Brainbase Conversational, a platform designed for teams across industries to build, test, deploy, observe, and autonomously improve conversational agents. We're currently live in over ~150 deployments across automotive, hospitality, and enterprise, and want to build out our marketing motion for the product. About The Role This is a Founding Marketer role for our Brainbase Conversational product. There is no playbook to follow-you're helping build our marketing playbook from scratch. Your job is to build and own our entire marketing motion, with inbound leads as the primary focus. You'll be defining our brand, messaging, and owning our online and social presence. What You'll Do • Define Brainbase's positioning, messaging, and narrative across the website, sales collateral, and product • Build the initial demand engine: content, events, webinars, partnerships, and experiments that generate real pipeline • Work hand-in-hand with sales to craft ICPs, refine messaging, and turn objections into assets • Create thought leadership around AI Employees, applied --- TITLE: Becario de Machine Support EMPLOYER: Jabil LOCATION: Guadalajara (unspecified) SALARY: Not disclosed POSTED: 2026-05-21 K401_MATCH: yes (not source-backed) APPLY_URL: https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Guadalajara/Becario-de-Machine-Support_J2450885 EXCERPT: Becario de Machine Support Guadalajara posted: Posted 22 Days Ago --- TITLE: Senior AI Engineer EMPLOYER: Abbott Laboratories LOCATION: United States - Illinois - Abbott Park (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---Abbott-Park/Senior-AI-Engineer_31151704 EXCERPT: Senior AI Engineer United States - Illinois - Abbott Park posted: Posted 2 Days Ago --- TITLE: Principal AI and Machine Learning Scientist EMPLOYER: Vanguard LOCATION: Location not specified (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 APPLY_URL: https://www.vanguardjobs.com/job/22553879/principal-ai-and-machine-learning-scientist-malvern-pa/ EXCERPT: Principal AI and Machine Learning Scientist Location not specified --- TITLE: Machine Operator EMPLOYER: Materion Corp LOCATION: Elmore, OH (unspecified) SALARY: Not disclosed POSTED: 2026-05-28 K401_MATCH: yes (not source-backed) APPLY_URL: https://materion.wd5.myworkdayjobs.com/Materion/job/Elmore-OH/Machine-Operator_2025-R6977 EXCERPT: Machine Operator Elmore, OH posted: Posted 15 Days Ago --- TITLE: Research Scientist EMPLOYER: Lightyear AI Inc LOCATION: San Francisco | Hybrid | Remote (hybrid) SALARY: Not disclosed POSTED: 2026-06-12 APPLY_URL: https://jobs.ashbyhq.com/lai/7b436470-6716-4d41-9a55-681cd4f460ac EXCERPT: Research Scientist San Francisco | Hybrid | Remote Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You'll help design and analyze experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You'll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers. If you're excited by open-ended questions, rigorous evaluation, and research that's grounded in real-world impact, you'll find a meaningful home here. We're looking for: • Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning. • Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment. • Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production. • Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals --- TITLE: Machine Maintenance Technician EMPLOYER: GE Aerospace LOCATION: Singapore (unspecified) SALARY: Not disclosed POSTED: 2026-06-08 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://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Singapore/Machine-Maintenance-Technician_R5027390-1 EXCERPT: Machine Maintenance Technician Singapore posted: Posted 4 Days Ago --- TITLE: Staff Python / PyTorch Developer — Frontend Inference Compiler – Dubai EMPLOYER: Cerebras Systems LOCATION: Europe; Remote, California, United States; UAE (remote) SALARY: Not disclosed POSTED: 2025-10-31 K401_MATCH: yes (not source-backed) APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7513711003 EXCERPT: Staff Python / PyTorch Developer — Frontend Inference Compiler – Dubai Europe; Remote, California, United States; UAE Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role: Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available. Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount --- TITLE: Staff Machine Learning Engineer (L4) EMPLOYER: Twilio LOCATION: Remote - India (remote) SALARY: Not disclosed POSTED: 2026-06-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.twilio.com/careers/job/1099551173874 EXCERPT: Staff Machine Learning Engineer (L4) Remote - India --- TITLE: Principal Machine Learning Engineer EMPLOYER: SAP LOCATION: Country USA | Internal Posting Location Palo Alto (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/Palo-Alto-Principal-Machine-Learning-Engineer-CA-94304/1367478333/ EXCERPT: Principal Machine Learning Engineer Country USA | Internal Posting Location Palo Alto 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. What you`ll do: Summary: At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. Our goal is to combine the power of LLMs with Knowledge Graphs for business AI problems in SAP applications. We are building a nimble and versatile engineering team to empower our Data Scientists within the AI Foundations and Research team. This team will be responsible for developing cutting-edge tools, providing development resources for proof-of-concept projects, and collaborating on groundbreaking Gen AI initiatives. Our ultimate objective is to expedite the development and implementation of innovative Gen AI features throughout --- TITLE: AI Developer Evangelist EMPLOYER: Intel LOCATION: 3 Locations (unspecified) SALARY: Not disclosed POSTED: 2026-06-10 K401_MATCH: yes (not source-backed) APPLY_URL: https://intel.wd1.myworkdayjobs.com/External/job/US-Oregon-Hillsboro/AI-Developer-Evangelist_JR0284330 EXCERPT: AI Developer Evangelist 3 Locations posted: Posted 2 Days Ago --- TITLE: Associate Machine Operator EMPLOYER: Edwards Lifesciences LOCATION: Singapore (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://edwards.wd5.myworkdayjobs.com/edwardscareers/job/Singapore/Associate-Machine-Operator_Req-44061 EXCERPT: Associate Machine Operator Singapore posted: Posted 30+ Days Ago --- TITLE: Principal Machine Learning & Data Engineer EMPLOYER: Twilio LOCATION: Remote - US (remote) SALARY: Not disclosed POSTED: 2026-06-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.twilio.com/careers/job/1099542306759 EXCERPT: Principal Machine Learning & Data Engineer Remote - US --- TITLE: AI Platform Engineer, Infrastructure EMPLOYER: BrainCo LOCATION: San Francisco Bay Area, San Francisco, California, United States (unspecified) SALARY: Not disclosed POSTED: 2025-09-29 APPLY_URL: https://jobs.ashbyhq.com/brainco/2a423180-afac-4bad-becd-d80939be735f EXCERPT: AI Platform Engineer, Infrastructure San Francisco Bay Area, San Francisco, California, United States About Brain Co. Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far: - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work Company momentum: - Raised a $55M Series A from leading investors - Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. We are looking for leaders who want to help bring new technology into institutions that impact millions of people. What You'll Work On: - Design and scale Kubernetes- and Terraform-based infrastructure across customer environments. - Define standards for networking, security, CI/CD, and multi-region deployments. - Build and maintain metrics, logging, tracing, dashboards, and SLOs. - Diagnose and improve performance across distributed systems and AI workloads. - Support high-performance inference, data pipelines, and large-scale backend services. --- TITLE: MACHINE OPERATOR EMPLOYER: Crown Holdings LOCATION: WA - Olympia (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 APPLY_URL: https://crownholdings.wd501.myworkdayjobs.com/CrownHoldings/job/WA---Olympia/MACHINE-OPERATOR_JR102372 EXCERPT: MACHINE OPERATOR WA - Olympia posted: Posted 30+ Days Ago --- TITLE: AI Engineer EMPLOYER: Solve Intelligence LOCATION: London, United Kingdom (unspecified) SALARY: Not disclosed POSTED: 2026-01-05 APPLY_URL: https://jobs.ashbyhq.com/solveintelligence/972bab7a-a285-4d22-af00-9ff9d3e41776 EXCERPT: AI Engineer London, United Kingdom At Solve Intelligence , we aren't just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company. 🏗️ The Role: AI Engineer We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast . You will lead the development of algorithms that push the envelope of what is possible with LLMs. What you'll own: - Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents. - SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D. - Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy. - Full-Stack Impact: While focused on AI, you'll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience. 💡 About Solve Intelligence We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation. - Growth: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech giants, and boutiques). - Impact: Users report 50-90% efficiency improvements. - Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others . 👋 Co-Founders & Team You will work directly with a --- TITLE: Staff Machine Learning Platform Engineer, AI Evaluation EMPLOYER: Apple LOCATION: Seattle, United States of America (unspecified) SALARY: $201K-$302K POSTED: 2026-04-21 K401_MATCH: yes (not source-backed) APPLY_URL: https://jobs.apple.com/en-us/details/200659247/staff-machine-learning-platform-engineer-ai-evaluation?team=MLAI EXCERPT: Staff Machine Learning Platform Engineer, AI Evaluation Seattle, United States of America Join Apple Services Engineering to build the next generation of AI evaluation systems. We are seeking a staff machine learning platform engineer to lead the architectural design and development of the high availability services and internal tools powering self-service evaluation at scale. You will partner with researchers to operationalize their innovations, transforming complex workflows into intuitive, developer-first platforms. We are looking for builders who thrive in the ambiguity of new initiatives and are passionate about creating scalable infrastructure. We're building the evaluation platform that will serve all of Apple's generative AI and agent systems. This is early-stage work - some scrappy components exist, much is greenfield and we need a staff engineer who can take it from here to org-wide self-service scale. This is not a "maintain the infra" role. You'll make consequential decisions about what to build, what to integrate, and what to say no to then ship it in Python with a small team. Platform architecture & delivery: Own the technical direction for our evaluation platform. Design and build the APIs, SDKs, and orchestration services that turn research-grade evaluation methodology into self-service building blocks other teams ship on top of. You'll start scrappy and intentionally, with line of sight to the scaled version. Productionize ML research: Partner directly with research engineers to assess their code and determine what can be rewritten into clean Python services vs. what requires infrastructure changes (Ray, GPU compute, distributed scheduling). Build --- TITLE: Principal Machine Learning Engineer EMPLOYER: Microsoft LOCATION: Redmond, WA, US (unspecified) SALARY: Not disclosed POSTED: 2025-12-17 K401_MATCH: yes (not source-backed) APPLY_URL: https://apply.careers.microsoft.com/careers/job/1970393556642473 EXCERPT: Principal Machine Learning Engineer Redmond, WA, US --- TITLE: Machine Operator EMPLOYER: Hillenbrand Inc LOCATION: 2 Locations (unspecified) SALARY: Not disclosed POSTED: 2026-05-21 K401_MATCH: yes (not source-backed) APPLY_URL: https://hillenbrand.wd3.myworkdayjobs.com/Global/job/Sabetha-KS/Machine-Operator_R-8841 EXCERPT: Machine Operator 2 Locations posted: Posted 22 Days Ago --- TITLE: Senior AI Engineer - AI Platform EMPLOYER: ClickUp LOCATION: United States (unspecified) SALARY: Not disclosed POSTED: 2026-04-30 APPLY_URL: https://jobs.ashbyhq.com/clickup/04f5dc76-f4d1-4112-9cff-79d3c202c8a6 EXCERPT: Senior AI Engineer - AI Platform United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer - AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: - Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. - Apply LLMs and other AI technologies directly to build and enhance ClickUp's intelligent features, working closely with product and engineering teams to deliver impactful solutions. - Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp's core platform. - Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. - Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) --- TITLE: Director, AI Research EMPLOYER: AstraZeneca LOCATION: Spain - Barcelona (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Spain---Barcelona/Director--AI-Research_R-252499-1 EXCERPT: Director, AI Research Spain - Barcelona posted: Posted Today --- TITLE: ME Supervisor - Machining and Fabrication EMPLOYER: Deere & Company LOCATION: Thibodaux,Louisiana,United States (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 APPLY_URL: https://johndeere.eightfold.ai/careers/job/137480212287 EXCERPT: ME Supervisor - Machining and Fabrication Thibodaux,Louisiana,United States --- TITLE: AI Engineer, BI&A Data Science & AI EMPLOYER: Eli Lilly and Company LOCATION: India, Bengaluru (unspecified) SALARY: Not disclosed POSTED: 2026-06-11 K401_MATCH: yes (not source-backed) APPLY_URL: https://lilly.wd5.myworkdayjobs.com/LLY/job/India-Bengaluru/AI-Engineer--BI-A-Data-Science---AI_R-106978-1 EXCERPT: AI Engineer, BI&A Data Science & AI India, Bengaluru posted: Posted Yesterday --- TITLE: Machining Operator EMPLOYER: Novanta Inc LOCATION: Suzhou, China (unspecified) SALARY: Not disclosed POSTED: 2026-05-28 K401_MATCH: yes (not source-backed) APPLY_URL: https://novanta.wd5.myworkdayjobs.com/Novanta-Careers/job/Suzhou-China/Machining-Operator_R009354 EXCERPT: Machining Operator Suzhou, China posted: Posted 15 Days Ago --- TITLE: Operation (Extruder Machine) EMPLOYER: Xylem Inc. LOCATION: 2 Locations (unspecified) SALARY: Not disclosed POSTED: 2026-06-12 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://xylem.wd5.myworkdayjobs.com/xylem-careers/job/Singapore-Wan-Lee/Operation--Extruder-Machine-_R48499 EXCERPT: Operation (Extruder Machine) 2 Locations posted: Posted Today --- TITLE: AI Research Manager - Machine Learning EMPLOYER: Nu Holdings Ltd. LOCATION: USA, Palo Alto (unspecified) SALARY: Not disclosed POSTED: 2026-06-05 APPLY_URL: https://job-boards.greenhouse.io/nubank/jobs/7982673 EXCERPT: AI Research Manager - Machine Learning USA, Palo Alto AI Research Manager About Nubank Nubank is one of the world's largest digital financial services platforms, recognized by Time 100, Fast Company, and Forbes for leading an industry transformation. Driven by our mission to fight complexity and empower more than 130 million customers, we leverage data and proprietary technology to build the future of financial services. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. We are executing an AI-first transformation. The AI Core Research team owns Nubank's forward-looking research agenda: the foundational capabilities that compound into long-term advantage rather than incremental wins. The quality of this team directly shapes whether we lead or follow over the next 24 months. About the role As AI Research Manager , you will own the operating health and execution of Nubank's ML research agenda. This is a dedicated people-management role for a small, high-talent-density team of world-class researchers, partnering closely with senior technical leads who drive the scientific direction. The team works on a portfolio of research bets on a one-to-four-quarter horizon. This work compounds into the production capabilities Nubank will depend on. Current and upcoming bets include: - Next-generation nuFormer architectures: proprietary transformers that learn from raw transaction sequences and power key production credit decisions - Multitask and multi-target modeling: single models serving many high-impact prediction tasks at once - Training and --- TITLE: Machine Repair EMPLOYER: GE Aerospace LOCATION: 2 Locations (unspecified) SALARY: Not disclosed POSTED: 2026-06-03 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://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Muskegon/Machine-Repair_R5035302-1 EXCERPT: Machine Repair 2 Locations posted: Posted 9 Days Ago --- TITLE: Machine Learning Engineer - Document Intelligence EMPLOYER: Workday, Inc. LOCATION: 2 Locations (unspecified) SALARY: Not disclosed POSTED: 2026-06-07 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://workday.wd5.myworkdayjobs.com/Workday/job/USA-CA-Pleasanton/Machine-Learning-Engineer---Document-Intelligence_JR-0107515 EXCERPT: Machine Learning Engineer - Document Intelligence 2 Locations posted: Posted 5 Days Ago --- TITLE: Machine Operator EMPLOYER: Millerknoll Inc LOCATION: GA - Atlanta (unspecified) SALARY: Not disclosed POSTED: 2026-06-03 K401_MATCH: yes (not source-backed) APPLY_URL: https://millerknoll.wd1.myworkdayjobs.com/MillerKnoll/job/GA---Atlanta/Machine-Operator_JR108685-2 EXCERPT: Machine Operator GA - Atlanta posted: Posted 9 Days Ago --- TITLE: Becario de Machine Support EMPLOYER: Jabil LOCATION: Guadalajara (unspecified) SALARY: Not disclosed POSTED: 2026-05-28 K401_MATCH: yes (not source-backed) APPLY_URL: https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Guadalajara/Becario-de-Machine-Support_J2451396 EXCERPT: Becario de Machine Support Guadalajara posted: Posted 15 Days Ago --- TITLE: Senior Manager - Machine Learning EMPLOYER: CCC Intelligent Solutions LOCATION: Chicago (Green St), IL (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 K401_MATCH: yes (not source-backed) APPLY_URL: https://cccis.wd1.myworkdayjobs.com/broadbean_external/job/Chicago-Green-St-IL/Senior-Manager---Machine-Learning_0014570 EXCERPT: Senior Manager - Machine Learning Chicago (Green St), IL posted: Posted 30+ Days Ago --- [PASTE YOUR RESUME OR SKILLS HERE]