# FewerJobs export - 100 curated jobs
Generated: 2026-08-17T17:53:33.078Z
Source: https://fewerjobs.com

## Filters applied
- **q**: Observe.AI
- **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**: 10
- **per_page**: 100
- **sort**: relevance

## Jobs
### AI Integrations Staff Engineer - Vetcove
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-07
- Apply: https://jobs.ashbyhq.com/vetcove/1c2049e2-6f1c-4bbd-b059-33c1873ac5b0
- Excerpt: AI Integrations Staff Engineer Remote Join Vetcove and help modernize the future of veterinary software and the pet parent healthcare experience. Our suite of platforms features a market-leading procurement marketplace, an ultra-modern home delivery ecommerce experience, and a next-generation practice management system. More than 25,000 hospitals across all 50 states rely on Vetcove daily, supporting tens of thousands of veterinarians who care for tens of millions of pets each year. We are modernizing the 50 billion dollar plus animal health industry by giving veterinary organizations the tools to focus more on patient care. Backed by Y Combinator and top venture investors in Silicon Valley, New York and Miami, Vetcove is a fast-growing, mission-driven company. We are searching for talented and passionate people who want to help shape the future of veterinary care. ABOUT THE POSITION Vetcove is seeking an experienced Applied AI Staff Engineer to join our team. As an Applied AI Staff Engineer, you will be responsible for integrating cutting-edge AI models into our existing features to enhance our products' capabilities and deliver a better user experience. We operate in a fully remote environment, giving you the flexibility to do your best work while staying deeply connected to a fast moving, highly collaborative team! WHAT YOU'LL DO - Evaluating and selecting the most appropriate AI models for our products based on our business needs and requirements. - Design and build out evaluation frameworks and configure observability platforms for monitoring AI performance in production systems - Collaborating with our data

### AI & Data Engineering - Hewlett-Packard
- Location: Sant Cugat del Valles, Barcelona, Spain (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://hp.eightfold.ai/careers/job/41887796
- Excerpt: AI & Data Engineering Sant Cugat del Valles, Barcelona, Spain

### Staff Software Engineer, AI Reliability Engineering - Anthropic
- Location: London, UK (unspecified)
- Salary: GBP 325K-390K
- Posted: 2026-02-03
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/5101173008
- Excerpt: Staff Software Engineer, AI Reliability Engineering London, UK About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities - Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. - Design and implement monitoring and observability systems across the token path. - Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers - Lead incident response for critical AI services, ensuring

### AI Training - Machine Learning Specialist (PST) - Prolific
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4749770101
- Excerpt: AI Training - Machine Learning Specialist (PST) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"> AI Trainer - Machine Learning Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and

### Principal AI Security Software Engineer (Starshield) - SpaceX
- Location: Palo Alto, CA (unspecified)
- Salary: $220K-$300K
- Posted: 2026-03-27
- Apply: https://boards.greenhouse.io/spacex/jobs/8482337002?gh_jid=8482337002
- Excerpt: Principal AI Security Software Engineer (Starshield) Palo Alto, 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. PRINCIPAL AI SECURITY SOFTWARE ENGINEER (STARSHIELD) Starshield leverages SpaceX's Starlink technology and launch capability to support national security efforts. While Starlink is designed for consumer and commercial use, Starshield is designed for government use, with an initial focus on earth observation, communications, and hosted payloads. The Starshield team is building highly reliable in-space mesh networks, designing secure systems to guarantee access to space, designing next-gen communication and sensing software, and more. As a Principal AI Security Software Engineer, you will leverage AI to automate security-related efforts and ensure safe AI integration into new and existing systems. If you are passionate about AI, security, and pushing the limits of combining both together, this role is for you. Ideally, you have notable skills in the following: - Software engineering - Agent engineering and security - LLM attack surfaces - Network and operating system security - Incident response and adversary detection Being flexible, communicating clearly, and establishing and maintaining productive working relationships with other engineering teams are paramount to success. If you are passionate about building quality products, love the challenges of outsmarting adversaries, and want to make an impact on an inter-planetary scale, then you will

### AI Computing Architect - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-29
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/AI-Computing-Architect_JR2018848
- Excerpt: AI Computing Architect 2 Locations posted: Posted 14 Days Ago

### Payments Engineer - Mercor
- Location: San Francisco, California, United States, New York City (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Apply: https://jobs.ashbyhq.com/mercor/3c02ed8c-3807-4aef-91cc-ccca5ab578bd
- Excerpt: Payments Engineer San Francisco, California, United States, New York City About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. Payments is the core infrastructure of our marketplace, not a back-office function. As our AI systems scale to evaluate, place, and compensate millions of workers across geographies, we are investing in making our financial systems deterministic, observable, and resilient because the models that route talent are only as good as the infrastructure that pays them. In a matter of months, we've gone from moving hundreds of thousands of dollars to hundreds of millions across our platform: what used to work at $200K won't work at $200M. The Team You Will Join The mission of the Payments group at

### Sr. AI Security Software Engineer (Starshield) - SpaceX
- Location: Washington, DC (unspecified)
- Salary: $168K-$230K
- Posted: 2026-03-06
- Apply: https://boards.greenhouse.io/spacex/jobs/8441151002?gh_jid=8441151002
- Excerpt: Sr. AI Security Software Engineer (Starshield) Washington, DC 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. SR. AI SECURITY SOFTWARE ENGINEER (STARSHIELD) Starshield leverages SpaceX's Starlink technology and launch capability to support national security efforts. While Starlink is designed for consumer and commercial use, Starshield is designed for government use, with an initial focus on earth observation, communications, and hosted payloads. The Starshield team is building highly reliable in-space mesh networks, designing secure systems to guarantee access to space, designing next-gen communication and sensing software, and more. As a Sr. AI Security Software Engineer, you will leverage AI to automate security-related efforts and ensure safe AI integration into new and existing systems. If you are passionate about AI, security, and pushing the limits of combining both together, this role is for you. Ideally, you have notable skills in the following: - Software engineering - Agent engineering and security - LLM attack surfaces - Network and operating system security - Incident response and adversary detection Being flexible, communicating clearly, and establishing and maintaining productive working relationships with other engineering teams are paramount to success. If you are passionate about building quality products, love the challenges of outsmarting adversaries, and want to make an impact on an inter-planetary scale, then you will fit

### Machine Learning Researcher, RL & Agentic Systems - Protege
- Location: Remote, United States (remote)
- Salary: Not disclosed
- Posted: 2026-05-28
- Apply: https://jobs.ashbyhq.com/protege/fedd9b1f-1e8b-4ecd-84df-b9db6295af12
- Excerpt: Machine Learning Researcher, RL & Agentic Systems Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. About DataLab DataLab exists because truly useful data is rare - and the frontier of AI development only moves forward when high-quality data makes it possible. We believe data is one of the most underdeveloped layers of the AI stack. Our work focuses on building and evaluating high-value datasets grounded in real-world workflows and economically meaningful tasks. We work across multiple domains to create safe, high-fidelity datasets that preserve the structure and context needed to train advanced AI systems. Our research spans data quality, evaluation design, privacy-preserving transformation, workflow reconstruction, and task-grounded AI training data. At DataLab, applied research is tightly connected to real-world deployment. Researchers work directly with large-scale datasets, production

### Research Scientist, Benchmarks & Evaluations - Protege
- Location: Remote, United States (remote)
- Salary: Not disclosed
- Posted: 2026-05-21
- Apply: https://jobs.ashbyhq.com/protege/11f7d4de-81d5-44c1-9aa4-b21e2e2015fc
- Excerpt: Research Scientist, Benchmarks & Evaluations Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. DataLab is Protege's research arm - a team of research scientists committed to tackling the fundamental challenges and open questions regarding data for AI. We bridge the gap between research theory and data deployment to push the frontier forward, publishing on the questions that matter: what agentic AI should actually be trained to do, how to quality-control large-scale corpora, and how to build evaluation datasets that reflect the real world rather than the leaderboard. We're a lean, fast-moving, high-trust team of builders who deeply care about scientific rigor and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. The Role

### AI infrastructure Engineer (SRE) Amsterdam - Together AI
- Location: Amsterdam (unspecified)
- Salary: Not disclosed
- Posted: 2025-04-28
- Apply: https://job-boards.greenhouse.io/togetherai/jobs/4555544007
- Excerpt: AI infrastructure Engineer (SRE) Amsterdam Amsterdam As a AI Infrastructure Engineer (SRE) at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Requirements - 7+ years of professional SRE or related experience - Bachelor's degree in Computer Science or a related field or equivalent work experience - Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes - Proficiency in programming/scripting languages - Direct experience in monitoring and observability practices - Advanced knowledge of cloud services - Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts Responsibilities - Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability - Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users - Build monitoring systems to ensure the highest quality service for our customers - Design and implement operational processes (such as deployments and upgrades) - Debug production issues across all services and levels of the stack - Identify improvements for the product architecture from the reliability, performance and availability perspectives - Plan the growth of Together AI's infrastructure About Together AI Together AI is a

### AI Engineer – Reliability & Warranty Analytics - Ford Motor Company
- Location: Chennai, Tamil Nadu, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- 401(k) match: listed (not source-backed)
- Apply: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/65051
- Excerpt: AI Engineer – Reliability & Warranty Analytics Chennai, Tamil Nadu, India We are looking for an AI Engineer to help expand the next generation of analytics and AI capabilities across Ford's reliability, warranty, safety, and decision-support ecosystem. This role will sit at the intersection of advanced analytics, machine learning, software engineering, and applied generative AI, with a strong focus on building scalable solutions that integrate into real business processes.

### Senior Backend -AI Engineer, AAM Team - Oasis Security
- Location: Tel Aviv (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-19
- Apply: https://job-boards.greenhouse.io/oasissecurity/jobs/5158810008
- Excerpt: Senior Backend -AI Engineer, AAM Team Tel Aviv About Oasis Security At Oasis Security, we're redefining how enterprises manage access in the age of AI. Every organization deploying AI agents is taking on access risks they can't yet see, and the tools they've relied on were never built for this. We built Oasis to change that. Backed by Sequoia, Accel, and Craft Ventures, we're trusted by dozens of Fortune 500 companies including S&P Global, Mars, and Nationwide, and we're only getting started. Why Oasis, why now The access management category is being rewritten in real time, and Oasis is leading it. The problems are genuinely hard, the company is growing fast, and you're early enough to shape both the product and the team. Why join us? - Shape the future : Be at the forefront of securing NHI and Agentic AI, a space redefining how enterprises operate. - Tackle massive scale : Work on distributed systems and architectures that manage billions of identities and interactions. - Ownership & impact : Senior engineers here drive projects end-to-end, with influence across both technical direction and product outcomes. - Cutting-edge stack : From cloud-native systems to AI infra and coding agents, you'll work on technologies that define tomorrow's engineering landscape. What you'll do - Build AI agents and workflows that understand user intent and take safe, validated actions across enterprise systems - Develop the pipelines that map agent intent → required permissions → secure, short-lived session provisioning - Implement observability for every action:

### Generative AI Quality Engineer - Senior Associate - State Street Corporation
- Location: Hyderabad, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://statestreet.wd1.myworkdayjobs.com/Global/job/Hyderabad-India/Generative-AI-Quality-Engineer---Senior-Associate_R-784573
- Excerpt: Generative AI Quality Engineer - Senior Associate Hyderabad, India posted: Posted 8 Days Ago

### Senior Data Scientist - Wayve
- Location: London; Sunnyvale (unspecified)
- Salary: $210K-$267K
- Posted: 2026-03-31
- Apply: https://wayve.firststage.co/jobs?gh_jid=8487888002
- Excerpt: Senior Data Scientist London; Sunnyvale About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility. This means you might: - Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success - Design experiments and targeted off-road measurements to ensure that we deliver

### Head of Commercialization - Speck
- Location: San Mateo, CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-05
- 401(k) match: listed (not source-backed)
- Mental health support: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/glance/jobs/7597443
- Excerpt: Head of Commercialization 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. Head of Commercialization Location: Bay Area

### Product Manager - Construction AI Workflows - Doxel
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2026-02-20
- Apply: https://jobs.lever.co/doxel/10a7f217-2640-4c55-9656-8adcccaa3604
- Excerpt: Product Manager - Construction AI Workflows Remote AI is automating knowledge work, and the construction industry is the largest market for vertical AI (nearly $1 in $3 spent on construction goes to management - not labor or materials). At Doxel, we believe vertical AI in Construction will be won by a platform that can understand the physical world. Doxel is that physical intelligence for the $15T construction industry - nearly 4x the size of SaaS! Yet, despite $4T spent on management, construction projects are late and over budget. Why? The reason is simple. Construction lacks the automated feedback loops of industries like software and manufacturing. Without real-time observability, issues are detected too late, eroding general contractor margins and costing owners millions in lost revenue. Doxel brings AI to construction, giving teams real-time visibility into schedule and budget risk. From hospitals to data centers and from leaders in the field to execs in the office, Doxel is used every day to make decisions that keep some of the biggest projects in the world on schedule and on budget. Customers deliver projects 11% faster on average, with up to 16% savings in monthly cash flow. Our platform is trusted by industry leaders including HCA Healthcare, QTS Data Centers, Genentech, DPR, Turner, and STO Building Group. We're growing crazy fast: 100+ data center buildings, 80+ healthcare facilities, and 3+ billion square feet of construction tracked. Join us on the rocketship as we disrupt traditional construction SaaS and build the largest vertical AI company

### Senior Manager Artificial Intelligence - Magna International Inc.
- Location: Troy, Michigan, US (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://magna.wd3.myworkdayjobs.com/Magna/job/Troy-Michigan-US/Senior-Manager-Artificial-Intelligence_R00228029
- Excerpt: Senior Manager Artificial Intelligence Troy, Michigan, US posted: Posted 30+ Days Ago

### AI Security Software Engineer (Starshield) - SpaceX
- Location: Palo Alto, CA (unspecified)
- Salary: $130K-$150K
- Posted: 2026-03-27
- Apply: https://boards.greenhouse.io/spacex/jobs/8483747002?gh_jid=8483747002
- Excerpt: AI Security Software Engineer (Starshield) Palo Alto, 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. AI SECURITY SOFTWARE ENGINEER (STARSHIELD) Starshield leverages SpaceX's Starlink technology and launch capability to support national security efforts. While Starlink is designed for consumer and commercial use, Starshield is designed for government use, with an initial focus on earth observation, communications, and hosted payloads. The Starshield team is building highly reliable in-space mesh networks, designing secure systems to guarantee access to space, designing next-gen communication and sensing software, and more. As an AI Security Software Engineer, you will leverage AI to automate security-related efforts and ensure safe AI integration into new and existing systems. If you are passionate about AI, security, and pushing the limits of combining both together, this role is for you. Ideally, you have notable skills in the following: - Software engineering - Agent engineering and security - LLM attack surfaces - Network and operating system security - Incident response and adversary detection Being flexible, communicating clearly, and establishing and maintaining productive working relationships with other engineering teams are paramount to success. If you are passionate about building quality products, love the challenges of outsmarting adversaries, and want to make an impact on an inter-planetary scale, then you will fit right in.

### AI Engineer - BDO USA
- Location: 6 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://bdo.wd3.myworkdayjobs.com/bdo/job/Toronto---Bay-St/AI-Engineer_JR5827
- Excerpt: AI Engineer 6 Locations posted: Posted 30+ Days Ago

### Senior Product Manager - Construction AI Workflows - Doxel
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2026-02-20
- Apply: https://jobs.lever.co/doxel/d2a28dbe-dd79-4efa-80ae-f99363ed0ef1
- Excerpt: Senior Product Manager - Construction AI Workflows Remote AI is automating knowledge work, and the construction industry is the largest market for vertical AI (nearly $1 in $3 spent on construction goes to management - not labor or materials). At Doxel, we believe vertical AI in Construction will be won by a platform that can understand the physical world. Doxel is that physical intelligence for the $15T construction industry - nearly 4x the size of SaaS! Yet, despite $4T spent on management, construction projects are late and over budget. Why? The reason is simple. Construction lacks the automated feedback loops of industries like software and manufacturing. Without real-time observability, issues are detected too late, eroding general contractor margins and costing owners millions in lost revenue. Doxel brings AI to construction, giving teams real-time visibility into schedule and budget risk. From hospitals to data centers and from leaders in the field to execs in the office, Doxel is used every day to make decisions that keep some of the biggest projects in the world on schedule and on budget. Customers deliver projects 11% faster on average, with up to 16% savings in monthly cash flow. Our platform is trusted by industry leaders including HCA Healthcare, QTS Data Centers, Genentech, DPR, Turner, and STO Building Group. We're growing crazy fast: 100+ data center buildings, 80+ healthcare facilities, and 3+ billion square feet of construction tracked. Join us on the rocketship as we disrupt traditional construction SaaS and build the largest vertical AI

### Senior Applied Scientist, Funnel Agentic Intel - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $167K-$226K
- Posted: 2026-05-15
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Surrogacy assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10421339/senior-applied-scientist-funnel-agentic-intel
- Excerpt: Senior Applied Scientist, Funnel Agentic Intel Seattle, Washington, USA Amazon Ads is building Ads Agent, an AI-powered agent that understands advertiser intent, reasons over campaign strategy, and executes across the full Amazon Ads portfolio. If you want to work at the frontier of agentic AI and large language models while directly impacting a multi-billion dollar business, this is your team. We are seeking an experienced Applied Scientist passionate about building intelligent agents that reason, plan, and act across complex advertising workflows. Ads Agent is an AI agent that simplifies how advertisers plan, launch, and optimize campaigns. Powered by AI, Ads Agent works alongside advertisers to automate time-consuming tasks, like identifying targeting segments, adjusting pacing across hundreds of campaigns, and generating SQL queries for advanced analytics. It also provides data-driven recommendations and simplifies analysis-all while providing transparency and control. With a broad mandate to experiment and innovate, we need applied scientists to define and build the future of advertising. Key job responsibilities - Design, build, and evaluate agentic systems that plan multi-step workflows, invoke tools, and take autonomous actions across Amazon Ads products on behalf of advertisers. - Define evaluation frameworks and benchmarks for agent reliability, correctness, safety, and advertiser satisfaction. - Analyze agent behavior through deep data analysis and rigorous A/B experimentation to identify failure modes, measure effectiveness, and derive business insights. - Partner with engineers, product managers, and UX designers to ship end-to-end agent experiences that are scalable, efficient, and reliable at Amazon scale. About the team We are

### Senior Low Observables (LO) Mission Systems Integration Engineer - The Boeing Company
- Location: USA - Berkeley, MO (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-01
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://boeing.wd1.myworkdayjobs.com/External_Careers/job/USA---Berkeley-MO/Senior-Low-Observables--LO--Mission-Systems-Integration-Engineer_JR2026501450
- Excerpt: Senior Low Observables (LO) Mission Systems Integration Engineer USA - Berkeley, MO posted: Posted 11 Days Ago

### Registered Nurse RN Observation PCU - Banner Health
- Location: BUMC Phoenix (1111 E McDowell Rd) (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://bannerhealth.wd108.myworkdayjobs.com/Careers/job/BUMC-Phoenix-1111-E-McDowell-Rd/Registered-Nurse-RN-Observation-PCU-Unit_R4436170
- Excerpt: Registered Nurse RN Observation PCU BUMC Phoenix (1111 E McDowell Rd) posted: Posted 30+ Days Ago

### AI Algorithm Research Intern – Neuromorphic Computing - Intel
- Location: Mexico, Guadalajara (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://intel.wd1.myworkdayjobs.com/External/job/Mexico-Guadalajara/AI-Algorithm-Research-Intern---Neuromorphic-Computing_JR0283303
- Excerpt: AI Algorithm Research Intern – Neuromorphic Computing Mexico, Guadalajara posted: Posted 30+ Days Ago

### AI Scientist - Entrepreneur in Residence - Solana
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://jobs.solana.com/companies/molecule-2-7e5b135d-da2a-4010-8aed-f55aaa6a1dbc/jobs/82248210-ai-scientist-entrepreneur-in-residence#content
- Excerpt: AI Scientist - Entrepreneur in Residence AI Scientist - Entrepreneur in Residence

### Registered Nurse - Observation - Per Diem, Day - Jefferson Frankford - Jefferson Health
- Location: Northeast Philadelphia, PA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- Apply: https://jeffersonhealth.wd5.myworkdayjobs.com/ThomasJeffersonExternal/job/Northeast-Philadelphia-PA/Registered-Nurse---Observation---Per-Diem--Day---Jefferson-Frankford_REQ-0029243-2
- Excerpt: Registered Nurse - Observation - Per Diem, Day - Jefferson Frankford Northeast Philadelphia, PA posted: Posted 3 Days Ago

### Principal AI Engineer - Salesforce
- Location: California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue (unspecified)
- Salary: $238K-$345K
- Posted: 2026-05-29
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://careers.salesforce.com/en/jobs/jr344074/principal-ai-engineer/
- Excerpt: Principal AI Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue We are seeking a highly skilled AI Platform Engineer to play a pivotal role in building the next generation of our ML/AI platform that doesn't just support ML models, but powers autonomous AI agents at enterprise scale. This role sits at the intersection of platform infrastructure and agent systems engineering. You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. You'll work on systems that directly impact marketing, sales, service, and product growth verticals across the organization. This isn't a traditional infrastructure role. You should be comfortable wearing multiple hats of software engineering, agent systems design, and evaluation tooling. We're looking for engineers who think in flywheels: build →evaluate → improve → ship → repeat. What You'll Do Agent Harness & Flywheel Engineering Design and build agent harness infrastructure: the scaffolding that wraps LLM calls, manages tool use, handles retries, enforces policy, and feeds results back into iterative improvement loops. Implement agentic loop patterns with multi-turn reasoning, tool orchestration, memory management, and structured output handling as reusable platform primitives Build the agent flywheel: automated pipelines that collect agent traces, surface regressions, route failures to evaluation, and close the loop from production signal back to prompt/model

### DOD SkillBridge - Aircraft Low Observable Mechanic 3/4 - Northrop Grumman Corporation
- Location: United States-Missouri-Whiteman AFB (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://ngc.eightfold.ai/careers/job/1340069923321
- Excerpt: DOD SkillBridge - Aircraft Low Observable Mechanic 3/4 United States-Missouri-Whiteman AFB

### B-2 Aircraft Low Observable Mechanic 1/2 - Northrop Grumman Corporation
- Location: United States-Missouri-Whiteman AFB (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://ngc.eightfold.ai/careers/job/1340072065843
- Excerpt: B-2 Aircraft Low Observable Mechanic 1/2 United States-Missouri-Whiteman AFB

### Senior Lead AI Engineer - Capital One Financial Corporation
- Location: 5 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-22
- 401(k) match: listed (not source-backed)
- Apply: https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Senior-Lead-AI-Engineer--Gen-AI-Platform-Services--Agentic-AI-_R242213-1
- Excerpt: Senior Lead AI Engineer 5 Locations posted: Posted 21 Days Ago

### AI Engineer (Remote, IND) - CrowdStrike
- Location: India - Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://crowdstrike.wd5.myworkdayjobs.com/crowdstrikecareers/job/India---Remote/AI-Engineer--Remote--IND-_R28983
- Excerpt: AI Engineer (Remote, IND) India - Remote posted: Posted Today

### Registered Nurse II (RN) Observation - Houston Methodist
- Location: HM Texas Medical Center - Main Tower (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-26
- Apply: https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Main-Tower/Registered-Nurse-II--RN--Observation_JR-5881-1
- Excerpt: Registered Nurse II (RN) Observation HM Texas Medical Center - Main Tower posted: Posted 17 Days Ago

### Senior Low Observables Design & Integration Engineer - Pole Model - The Boeing Company
- Location: USA - Berkeley, MO (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-29
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://boeing.wd1.myworkdayjobs.com/External_Careers/job/USA---Berkeley-MO/Senior-Low-Observables-Design---Integration-Engineer---Pole-Model_JR2026507768
- Excerpt: Senior Low Observables Design & Integration Engineer - Pole Model USA - Berkeley, MO posted: Posted 14 Days Ago

### Lead AI Engineer, AI Foundations - Capital One Financial Corporation
- Location: 4 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/New-York-NY/Lead-AI-Engineer--AI-Foundations_R241189-1
- Excerpt: Lead AI Engineer, AI Foundations 4 Locations posted: Posted 30+ Days Ago

### Senior AI Security Researcher - NVIDIA Corporation
- Location: 4 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-01
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Israel-Tel-Aviv/Senior-AI-Safety-Red-Teamer_JR2018549
- Excerpt: Senior AI Security Researcher 4 Locations posted: Posted 11 Days Ago

### Lead Product Engineer – Observability (Enterprise App Monitoring) - Remote - The Allstate Corporation
- Location: USA - IL (Remote) (remote)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Hires in: IL
- Apply: https://allstate.wd5.myworkdayjobs.com/allstate_careers/job/USA---IL-Remote/Lead-Product-Engineer---Observability--Enterprise-App-Monitoring----Remote_R29031-1
- Excerpt: Lead Product Engineer – Observability (Enterprise App Monitoring) - Remote USA - IL (Remote) posted: Posted 30+ Days Ago

### AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI - Meta
- Location: Menlo Park, CA; New York, NY (unspecified)
- Salary: $219K-$301K
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://www.metacareers.com/jobs/899841383103112/
- Excerpt: AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI Menlo Park, CA; New York, NY The Monetization GenAI Video Gen & Visual Search group, part of the Ads pillar, is building the next generation of generative AI for video - from creation to understanding to transformation - at a scale that reaches billions of users. We develop proprietary foundation models for video generation, video-to-video editing, audio generation (music, voiceover, dubbing), and multimodal video understanding powered by large language models. We produce industry leading video models, and our research translates into products that drive hundreds of millions of dollars in annual advertising revenue. We are looking for a technical leader in AI research to define the research vision across video and audio generation, drive breakthrough research, and shape the technical direction of the organization. Responsibilities: - Lead end-to-end AI research and model development for video-centric generative AI across Meta's advertising surfaces - Drive advancements in video generation & enhancement - Develop video-to-video & audio generation capabilities - Advance video & visual understanding through novel research - Conduct foundation model research to support generative AI innovation - Define research agendas and pioneer new directions in video/audio generation and multimodal understanding Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Has obtained a PhD in Computer Science, AI/ML, or a relevant technical field - Experience as a technical lead, driving major technical initiatives with cross-functional impact and influencing strategy across multiple teams - 4+

### Staff Site Reliability Engineer - Okta, Inc.
- Location: Bengaluru, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- 401(k) match: listed (not source-backed)
- Apply: https://www.okta.com/company/careers/opportunity/7840544?gh_jid=7840544
- Excerpt: Staff Site Reliability Engineer Bengaluru, India Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. What You'll Be Doing - Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. - Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. - Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). - Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. - Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. - Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. - Champion SRE best practices - defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. - Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. - Mentor

### Senior Software Engineer, Compute Architecture - CoreWeave
- Location: Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA (unspecified)
- Salary: $153K-$242K
- Posted: 2026-05-22
- 401(k) match: listed (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Learning budget: yes (not source-backed)
- Apply: https://coreweave.com/careers/job?4681297006&board=coreweave&gh_jid=4681297006
- Excerpt: Senior Software Engineer, Compute Architecture Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Role As a Senior Software Engineer within our Compute Architecture organization, you will help build the software control plane for hardware lifecycle management across large-scale GPU data centers. The METALDEV team builds Go-based distributed services that bring infrastructure online, monitor production hardware health, automate safe operational workflows, and give operators the observability and control needed to manage GPU servers and rack-scale systems with reliability and confidence. This is a software-first role at the intersection of distributed systems, production reliability, and hardware-aware automation, ideal for engineers who want their code to operate real-world infrastructure at massive scale. What You'll Do - Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data center infrastructure. - Build automation for data center bring-up, hardware discovery, health monitoring, remediation, and production operations. - Develop reliable APIs, services, and workflows for managing BMCs, firmware state, server health, and rack-level infrastructure. - Improve observability, alerting, and operational tooling

### Manager, Agentic AI Business Solutions, Neural Nexus - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Manager--Agentic-AI-Business-Solutions--Neural-Nexus_R-240660
- Excerpt: Manager, Agentic AI Business Solutions, Neural Nexus India - Hyderabad posted: Posted 30+ Days Ago

### AI Governance Data Scientist - Bayer
- Location: Gdańsk,Pomorskie,Poland (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://talent.bayer.com/careers/job/562949977338234
- Excerpt: AI Governance Data Scientist Gdańsk,Pomorskie,Poland

### Software Engineer, Core Network Engineering - OpenAI
- Location: San Francisco, California, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-06
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/openai/1fec5ecd-5b7b-45bc-bc8c-ac7184565551
- Excerpt: Software Engineer, Core Network Engineering San Francisco, California, United States About the Team The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI's compute infrastructure - spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads. This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world's most advanced AI infrastructure. About the Role We're looking for engineers to help build and operate the networking foundation behind OpenAI's frontier AI systems. Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations. You'll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance. This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale. In this role, you will: - Design, build, and operate networking systems that support large-scale AI training and inference infrastructure - Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems - Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure - Build tooling and observability systems for network health, performance analysis, debugging,

### Agentic AI Researcher - Raytheon Technologies
- Location: US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-CT-EAST-HARTFORD-RTRC-K--411-Silver-Ln--RTRC-K/Agentic-AI-Researcher_01823715
- Excerpt: Agentic AI Researcher US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K posted: Posted 30+ Days Ago

### Platform Operations Engineer (Site Reliability Engineer) - Vertiv
- Location: Westerville, OH, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://egup.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/20274621
- Excerpt: Platform Operations Engineer (Site Reliability Engineer) Westerville, OH, United States Vertiv is seeking a skilled Platform Operations Engineer (Site Reliability Engineer) to serve as the owner of cross-platform observability, incident management, and operational reliability within Vertiv's Digital organization. This individual contributor role is responsible for designing, implementing, and continuously improving monitoring and alerting solutions across Vertiv's digital platform ecosystem - including Compass AI, Writer AI, Site Scope, UiPath, Workato, Cursor, and other approved enterprise tools - while owning incident response processes, SLA management, and operational governance. The Platform Operations / SRE will operate within the Digital organization and play a central role in advancing Vertiv's Operational Excellence strategic priority by ensuring the availability, performance, and resilience of platforms that power critical digital workflows and business functions.

### Lead AI Engineer - Vice President - Citigroup Inc.
- Location: PUNE, Mahārāshtra, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://citi.eightfold.ai/careers/job/859034708834
- Excerpt: Lead AI Engineer - Vice President PUNE, Mahārāshtra, India

### Senior Infrastructure Engineer - Postgres - ClickHouse
- Location: United States (remote) (remote)
- Salary: $140K-$208K
- Posted: 2025-11-20
- Apply: https://job-boards.greenhouse.io/clickhouse/jobs/5706417004
- Excerpt: Senior Infrastructure Engineer - Postgres United States (remote) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure -adding new capabilities that connect and extend Postgres and ClickHouse for modern data workloads. We're hiring a Senior SRE / Senior Infrastructure Engineer to own reliability, automation, and operations as these services scale globally. You'll be at the center of how we run and evolve our next-generation data platform-building the automation, observability, and operational rigor that ensure a fast, secure, and dependable customer experience. This is a hands-on, high-impact role where you'll write code, shape architecture, and enable the broader engineering team to deliver with confidence and velocity. What You'll Do - Lead reliability and operations for ClickHouse's Postgres integration - upgrades, patching, maintenance, and scaling.

### Generative AI Engineer - ResMed
- Location: SG Galaxis (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://resmed.wd3.myworkdayjobs.com/Resmed_External_Careers/job/SG-Galaxis/Generative-AI-Engineer_JR_044095-1
- Excerpt: Generative AI Engineer SG Galaxis posted: Posted 30+ Days Ago

### Software Engineer, Full Stack (Serverless) - Fal
- Location: San Francisco (unspecified)
- Salary: $150K-$230K
- Posted: 2026-01-27
- Apply: https://job-boards.greenhouse.io/fal/jobs/4112697009
- Excerpt: Software Engineer, Full Stack (Serverless) San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role: As a Full Stack Engineer on Serverless, you will build the core product across frontend and backend that powers fal's Serverless platform. This is a deeply product-focused role. You will work side-by-side with Product and Infrastructure to design and ship reusable, scalable systems that enterprise customers rely on in production every day. You will be a foundational technical owner of fal Serverless as it scales to thousands of enterprise customers, with real responsibility, autonomy, and impact. This is a chance to help build a new product vertical from the ground up inside a company that is already scaling at rocket-ship speed. What you'll work on: - Build and maintain core Serverless UI features (dashboards, logs, observability, configuration, usage) - Design and implement backend APIs that power the Serverless product experience - Improve performance, reliability, and scalability of customer-facing systems

### Demand Generation Specialist | United States | Remote - Grafana Labs
- Location: United States (Remote) (remote)
- Salary: $77K-$92K
- Posted: 2026-03-24
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/grafanalabs/jobs/5836198004
- Excerpt: Demand Generation Specialist | United States | Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We're looking for an experienced, AI-native demand generation specialist to own our lifecycle and nurture programs - the strategic

### AI Trainer - Computer Scientist (EST) - Prolific
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4761592101
- Excerpt: AI Trainer - Computer Scientist (EST) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of

### Senior Staff Operations Engineer, AIOps - Airbnb
- Location: Remote - United States (remote)
- Salary: $212K-$265K
- Posted: 2026-02-24
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://careers.airbnb.com/positions/7644921?gh_jid=7644921
- Excerpt: Senior Staff Operations Engineer, AIOps Remote - United States Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: BizTech fosters culture and connection at Airbnb by providing reliable corporate tools, innovative products, and technical support for all teams. We drive technical breakthroughs and strategies that redefine what it means to belong anywhere, delivering greater value for the business and our people. The Global Operations team at BizTech manages production services across Airbnb's corporate environment, delivering reliable operations through Observability, Incident Management, Core Operations, and AI-enabled automation. We partner across BizTech to scale service quality, efficiency, and resilience. The Difference You Will Make: As a Senior Staff Engineer in Operations, you will lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams and help BizTech teams focus on their core work with confidence. Ops owns triage and resolution, proactive monitoring across networks, systems, applications, and cloud services via a homegrown observability platform, and drives process excellence through automation and shift-left programs. You will set the technical bar, model operational excellence, and ensure high-quality, reliable service. Your scope includes leading projects across multiple

### Senior AI Scientist/Lead AI Scientist - Owkin
- Location: UK, United Kingdom, Paris, Germany (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-19
- Apply: https://jobs.ashbyhq.com/owkin/ca1a3d15-8e59-4a6d-8256-20a01c6ec715
- Excerpt: Senior AI Scientist/Lead AI Scientist UK, United Kingdom, Paris, Germany About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. Please submit your CV in English About the role: We are looking for a visionary ML/AI Scientist to lead the development of our AI Scientist -an autonomous agentic system designed to navigate the complexities of drug discovery. This role isn't just about training models; it's about building "scientists in a box" that can reason over biological data, design experiments, and autonomously drive therapeutic breakthroughs. Unlike traditional ML roles that focus on single-task optimization, you will be building a meta-researcher . You'll be at the heart of Owkin's mission, creating the engine that will discover the next generation of life-saving therapeutics. In particular, you will: - Architect Agentic Systems: Design and implement sophisticated AI agents capable of multi-step reasoning, tool-use, and self-correction. - Bridge AI and Wet-Lab: Develop frameworks where agents can propose hypotheses and design "optimal experiments" to be validated in the lab. - Scale the "Hacker" Approach: Rapidly prototype and iterate on agentic architectures, moving from paper to

### Manager Software Engineering, AI Agents - Comcast Corporation
- Location: DC - Washington, 1325 G ST NW STE 300 (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/DC---Washington-1325-G-ST-NW-STE-300/Software-Engineering-Manager--AI-Agents_R434865
- Excerpt: Manager Software Engineering, AI Agents DC - Washington, 1325 G ST NW STE 300 posted: Posted Today

### Product Manager, LangSmith - LangChain
- Location: New York, NY, New York, United States, San Francisco, CA, Boston, MA (unspecified)
- Salary: $180K-$215K
- Posted: 2025-11-24
- Apply: https://jobs.ashbyhq.com/langchain/27af5f96-b287-4bcc-8679-f96686dc7c8d
- Excerpt: Product Manager, LangSmith New York, NY, New York, United States, San Francisco, CA, Boston, MA About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If

### AI Data Associate - French, Artificial General Intelligence - Amazon
- Location: London, England, GBR (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-04
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3196165/ai-data-associate-french-artificial-general-intelligence
- Excerpt: AI Data Associate - French, Artificial General Intelligence London, England, GBR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our biggest tenet - Work with a range of different types of data including but not limited to text, speech, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team - Demonstrate expertise in handling end to end data execution

### Machine Learning Infra Engineer - Reducto
- Location: San Francisco Office | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/reducto/df35cc55-1783-402d-b0d9-ca1352f50d0b
- Excerpt: Machine Learning Infra Engineer San Francisco Office | OnSite ABOUT REDUCTO Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms. Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital. THE OPPORTUNITY As an ML Infra Engineer, you'll play a key role in building the inference and training frameworks that make it possible to deliver results at scale. You'll collaborate closely with our ML and Platform teams to scale training across nodes, develop faster and more efficient serving, and create observability across the stack. This is a high-impact role where you'll help define what high performance ML training and inference look like at Reducto. WHAT YOU'LL DO - Build, and maintain our training and inference stack with an emphasis for fast iteration on training + flexibility for exploring new methods and high performance in inference. - Develop benchmarks for both sets of stacks to identify bottlenecks. - Explore SOTA advances in training and inference and work to apply them. - Design systems for scaling model training across multi-node, multi-GPU environments with strong reliability and observability. - Scale

### AI Data Architect - UMB Financial CORP
- Location: 50 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://umb.wd1.myworkdayjobs.com/UMBExternal/job/Kansas-City-MO/AI-Cloud-Data-Engineer_R-8268-1
- Excerpt: AI Data Architect 50 Locations

### DevOps Engineer - Flux
- Location: San Francisco Office | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/flux/c4404b17-1163-4be6-ad8d-8bc19eeb4e84
- Excerpt: DevOps Engineer San Francisco Office | OnSite WHY FLUX Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how electronics are designed and built around the world. THE ROLE Flux is building the world's first AI Hardware Engineer, and that means everything around it has to just work. As a DevOps Engineer, you'll work on the full-stack systems that power Flux's platform experience beyond the editor: billing, authentication, onboarding, and integrations. You'll ship production features that touch every user, keep the lights on, and make it possible for Flux to scale. WHAT YOU'LL DO - Improve the reliability, availability, and operational health of production systems. - Set observability standards across services (metrics, logs, errors). - Set SLOs/SLIs, alerting, and on-call readiness with a focus on signal quality. - Partner with engineers to design resilient systems and reduce operational risk early. - Build internal tooling that improves system safety, debugging, and developer velocity. - Manage infrastructure via Pulumi across GCP, AWS, and Firebase. WHAT YOU'LL BRING - 5+ years SRE, DevOps, or production operations experience. - Proven experience operating and scaling production systems with uptime and latency goals. - Strong hands-on experience with observability stacks (Datadog, Sentry, or similar). - Experience defining SLOs/SLIs and building effective alerting strategies. - Proficiency with CI/CD systems and infrastructure-as-code. - Experience with cloud-native and serverless platforms (GCP, AWS). - Strong cross-system debugging and incident response

### Senior Software Engineer, SmithDB - LangChain
- Location: San Francisco, CA, United States (unspecified)
- Salary: $175K-$240K
- Posted: 2026-05-13
- Apply: https://jobs.ashbyhq.com/langchain/068b2e23-af01-42c7-9bce-d86976ea4d6e
- Excerpt: Senior Software Engineer, SmithDB San Francisco, CA, United States About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role We're building a storage layer specifically designed for AI observability and evaluation. We're a fast-moving team looking for a systems / database engineer to help design, optimize, and harden our system. Within 6 months, we've gone from idea to production

### AI Tutor - Russian - xAI
- Location: Remote (remote)
- Salary: $35-$45/hr
- Posted: 2026-04-29
- Apply: https://job-boards.greenhouse.io/xai/jobs/5123528007
- Excerpt: AI Tutor - Russian Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and

### Senior Software Engineer II - (AI Core Platform) - Aledade
- Location: Remote, United States (remote)
- Salary: Not disclosed
- Posted: 2026-06-05
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.lever.co/aledade/070d5213-9ba5-4afd-aea4-9856e20becae
- Excerpt: Senior Software Engineer II - (AI Core Platform) Remote, United States As a Senior Software Engineer II at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value. As a Senior Software Engineer II at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value. Primary Duties: - Develop and implement scalable and performant solutions. - Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. - Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. Minimum Qualifications: - BS/BTech (or higher) in

### Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI - Scale AI
- Location: San Francisco, CA; New York, NY (unspecified)
- Salary: $265K-$331K
- Posted: 2026-02-10
- Apply: https://job-boards.greenhouse.io/scaleai/jobs/4658162005
- Excerpt: Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI San Francisco, CA; New York, NY Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: - Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. - Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. - Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance,

### Machine Learning Engineer: Perception - Bedrock Robotics
- Location: San Francisco, CA, San Francisco, California, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-04
- Apply: https://jobs.ashbyhq.com/bedrock-robotics/59f4cf4c-e0cc-4c39-a9a6-0e8a7c52a488
- Excerpt: Machine Learning Engineer: Perception San Francisco, CA, San Francisco, California, United States Join the team bringing advanced autonomy to the built world At Bedrock, we're moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. This is where algorithms meet steel-toed boots. You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us. Machine Learning Engineer: Perception Bedrock is bringing autonomy to the construction industry! We're a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. We are looking for engineers with expertise in shipping production 3D perception systems at scale. Successful candidates have architected systems, trained models from scratch, understand the full stack (clustering, detection, classification, and tracking), and have shipped at scale. We use both computer vision and LIDAR-based approaches, so knowledge of

### Sr. Product Manager, Lakeflow - Databricks
- Location: Amsterdam, Netherlands (unspecified)
- Salary: Not disclosed
- Posted: 2025-09-29
- Non-birth-parent leave: 12 weeks (not source-backed)
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8186386002
- Excerpt: Sr. Product Manager, Lakeflow Amsterdam, Netherlands RDQ426R402 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Product Manager on the Lakeflow Jobs team , you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks' built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability. This role requires a deep understanding of orchestration workflows , data pipelines , and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams. The impact you'll have: - Define strategy & roadmap: Set vision and priorities across

### AI Engagement Manager - Adobe Inc.
- Location: Noida (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/AI-Engagement-Manager_R164430-1
- Excerpt: AI Engagement Manager Noida posted: Posted 30+ Days Ago

### Full Stack Software Engineer - Billing Team - ClickHouse
- Location: United States (remote) (remote)
- Salary: $141K-$208K
- Posted: 2025-07-08
- Apply: https://job-boards.greenhouse.io/clickhouse/jobs/5584386004
- Excerpt: Full Stack Software Engineer - Billing Team United States (remote) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! About the Team The Billing Engineering team is responsible for building the billing platform behind ClickHouse Cloud. Our team is looking for exceptional software engineers who can work on a variety of technologies including frontend and backend while integrating with various external systems. You'll work on mission-critical flows with a direct impact on the business. The team collaborates with stakeholders from across the business to provide the best experience for our customers (reliability, scalability, privacy, security, observability) while keeping accuracy and compliance a priority in everything we build. What will you do? - Build ClickHouse cloud's billing and metering platform - Design and build mission-critical processes that literally keep the lights on. - Create with purpose.

### Senior Executive Assistant, Global Customer Solutions | United States | PST or MST | Remote - Grafana Labs
- Location: United States (Remote) (remote)
- Salary: $127K-$153K
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/grafanalabs/jobs/6014246004
- Excerpt: Senior Executive Assistant, Global Customer Solutions | United States | PST or MST | Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana is looking for a highly motivated Senior Executive Assistant to support

### Applied AI Transformation Manager - APAC - Cognition IP
- Location: Singapore | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/cognition/be59ef70-1b34-4af5-a831-da964a6d3869
- Excerpt: Applied AI Transformation Manager - APAC Singapore | OnSite WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE Applied AI Transformation Managers are technically oriented strategic advisors and operators who ensure value alignment to our customer's most strategic projects and drive program delivery across several strategic accounts. You'll be responsible for identifying strategic opportunities for our customers to realize value from Cognition's platform and ensuring strong value capture and reporting. You will support delivery of enterprise wide programs to implement agentic AI, specifically by designing and building the operating model and delivery model for agentic AI. You'll act as a trusted advisor to senior and functional leaders, designing value realization targets and delivering transformation programs. This role embeds with a select set of Cognition's strategic accounts

### Software Engineer, Platform Systems - OpenAI
- Location: San Francisco, California, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-23
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/openai/5e4ed6d1-2417-4bf5-bae0-905931c488e3
- Excerpt: Software Engineer, Platform Systems San Francisco, California, United States About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI's flagship models on some of the world's largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI's research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You'll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI's training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will - Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs - Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system

### Executive Assistant - David AI
- Location: San Francisco, California, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-20
- Apply: https://jobs.ashbyhq.com/david-ai/e66dcd43-6e22-463f-9e34-275d577f0b91
- Excerpt: Executive Assistant San Francisco, California, United States About David AI David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Office of the CEO team From our CEO, Tomer: You'll support me in helping grow David AI - working with customers, teams across the company, and our investors. You'll be a strategic partner and force-multiplier - in the room for big decisions, seeing how the whole business operates, and having a direct hand in shaping where we go next. About the Executive Assistant role As an Executive Assistant at David AI, you'll largely support

### AI Automation Engineer - StockX
- Location: Bangalore, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-23
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/stockx/jobs/8465053002
- Excerpt: AI Automation Engineer Bangalore, India Help empower our global customers to connect to culture through their passions. Why you'll love this role We are seeking an AI Automation Engineer to design, build, and scale intelligent automation systems that improve operational efficiency, reduce manual effort, and unlock new capabilities across the business. This role sits at the intersection of engineering, applied AI,workflow automation, and systems integration. You will be responsible for identifying high-impact automation opportunities and delivering production grade AI-driven solutions that integrate seamlessly into our technology ecosystem. You will partner cross-functionally with Engineering, Operations, Product, Data, and Security, as well as business stakeholders to transform manual and repetitive processes into intelligent, scalable systems. What you'll do - Design & deploy AI powered automation solutions using LLMs, machine learning models, and decision engines. - Build agent-based systems, prompt pipelines, and retrieval augmented generation workflows. - Develop autonomous or semi-autonomous systems that can take actions across internal tools and APIs. - Create scalable workflow automation using APIs, event driven architecture, and orchestration frameworks. - Integrate AI systems with internal platforms. - Develop reusable automation components and internal tooling. - Write clean, maintainable, production ready code. - Build observability, logging, guardrails, and monitoring into AI systems. - Ensure reliability, security, and responsible AI implementation. - Measure performance impact. - Continuously refine prompts, workflows, and models. - Identify new automation opportunities across the organization. - Implement guardrails, access controls, and safety mechanisms. - Ensure compliance with data privacy and security policies. - Partner with

### Applied AI - Artisan
- Location: San Francisco | OnSite | New York (onsite)
- Salary: Not disclosed
- Posted: 2026-06-04
- Apply: https://jobs.ashbyhq.com/artisan/e5805224-3fdc-4400-bfc0-8ab60440f157
- Excerpt: Applied AI San Francisco | OnSite | New York ABOUT ARTISAN We're building AI employees. Not chatbots. Not copilots. Autonomous digital workers that do real jobs. Our first, Ava, is an AI BDR used by hundreds of companies. She researches leads, writes and sends emails in a customer's voice, runs multi-step outbound sequences, manages her own deliverability infrastructure, self-optimizes over time, and handles objections and meeting booking. She's not a tool someone uses. She's a teammate. We're a YC W24 company, have raised $35M+ from investors including Y Combinator, and are at $8M+ ARR. Right now we're building Ava 2.0, a step change in what an AI employee can do. The engineering problems are hard and the surface area is enormous. ROLE OVERVIEW You'll be the third Applied AI engineer on the Artisan team! We're pushing the boundaries of what's possible with AI employees, and you'll play a key role in our product direction. - Evaluating LLMs, choosing the right models for the right tasks, balancing cost, latency, reliability, and accuracy - Architecting prompt frameworks and agent behaviors for Ava's core workflows: email generation, chat interaction, meeting scheduling, prospect research, and more - Optimizing multi-step agent chains using retrieval-augmented generation (RAG), web search integrations, and tool use (e.g. CRMs, calendars, APIs) - Driving infrastructure choices for routing, orchestration, eval loops, and persistent memory across agents - Building safety, trust, and controls into agents, partnering with product to design user guardrails, fail-safes, and success metrics - Exploring and deploying emerging modalities

### Senior Enterprise Account Executive (Midwest Territory) - Observe.AI
- Location: Remote-US (remote)
- Salary: $270K-$300K
- Posted: 2026-06-07
- Apply: https://www.observe.ai/position?gh_jid=5107653008
- Excerpt: Senior Enterprise Account Executive (Midwest Territory) Remote-US (Primary locations for hiring will be in Chicago, Indianapolis, Detroit, Philadelphia, Pittsburgh, and Cleveland) About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle-from handling customer conversations to supporting frontline teams and optimizing operations. Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us We're looking for a Senior Enterprise Account Executive (Midwest Territory)-a rare combination of builder, operator, and elite enterprise seller. The ideal candidate is someone who: Runs toward complexity Operates at startup speed Owns a business, not a book of accounts Excels in high-stakes technical sales cycles This is not a 9-5 job. This is an opportunity to build a category and influence the direction of enterprise AI adoption. Agentic AI experience is a plus but not required. What matters most is depth in complex enterprise selling, mastery of sales rigor, and a builder's mindset. If you're

### AI Generalist (No Experience Required) - Freelance AI Trainer Project - Agency
- Location: United States of America (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4754242101
- Excerpt: AI Generalist (No Experience Required) - Freelance AI Trainer Project United States of America AI Generalist (No Experience Required) We are offering a project-based opportunity for independent contributors who are curious about artificial intelligence and excited to learn how advanced AI models are built, evaluated, and improved. These opportunities may be suitable for people who are early in their academic journey, exploring potential specialties, or simply eager to engage on real-world AI development work on a flexible project-by-project basis. In this project, you will interact directly with AI systems, review model outputs, follow clear task guidelines, and contribute to the creation of high-quality training data. You may work on activities such as evaluating responses, identifying inconsistencies, providing feedback, or helping structure information so that models learn more effectively. All tasks are well-defined, and you will receive task guidance and examples to help you succeed. You should be comfortable working independently, paying close attention to detail, and communicating clearly about what you observe. A thoughtful, reflective approach-explaining your reasoning and noting uncertainties-is highly valued, as it helps improve both the models and the training process. This project is well-suited for individuals who enjoy problem-solving, learning through practice, and contributing to innovative technology. This project offers a unique opportunity to gain practical exposure to AI development without needing a technical background. During your engagement you may pick up transferable skills in critical thinking, evaluation, and structured communication while contributing to systems that are shaping the future of technology across many industries. If

### Director, Forward Deployed AI Engineering - Natera, Inc.
- Location: US Remote (remote)
- Salary: $187K-$233K
- Posted: 2026-05-13
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/natera/jobs/5991157004
- Excerpt: Director, Forward Deployed AI Engineering US Remote About the Role The Head of AI Solutions will lead a Forward Deployed AI engineering team and owns the delivery of AI-powered workflow transformation across Sales & Marketing, Finance, Legal, HR, Business Development, Business Operations and other related G&A functions. This is a player-coach role in the truest sense: you lead a team of Forward Deployed AI Solutions Engineers, but you are also consistently in the work alongside them - scoping workflows, building, debugging, and iterating in production. We believe the pace of change in AI makes proximity to the work non-negotiable at every level of the organization. The expectation is that roughly half your time is spent building and shipping alongside your engineers, using that firsthand knowledge to make better prioritization calls, give feedback, and earn the trust of both your team and the business stakeholders you serve. You partner closely with the AI Platform team to ensure every workflow transitions cleanly to long-term ownership, and you bring patterns and reusable assets back to the broader AI & Automation organization. What You'll Own Build and ship alongside your team - Spend meaningful time as a hands-on contributor - scoping workflows end-to-end, building agents and automation pipelines, debugging integration issues, and tuning prompts and context in production. - Set the technical bar through your own work: production-grade evals, observability, clean handoff documentation, and rigorous testing before anything ships. - Jump in when a deployment is stalled, a system integration is unexpectedly gnarly, or

### AI Research Engineer - Reinforcement Learning - Helsing
- Location: Barcelona; Berlin; London; Munich; Paris (unspecified)
- Salary: Not disclosed
- Posted: 2025-09-17
- Parental leave: 22 weeks (not source-backed)
- Mental health support: yes (not source-backed)
- Apply: https://helsing.ai/jobs/4676357101?gh_jid=4676357101
- Excerpt: AI Research Engineer - Reinforcement Learning Barcelona; Berlin; London; Munich; Paris Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams - and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired with high generalisation capabilities and strong robustness against adversarial attacks. You will build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. You will develop and integrate state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle, the CA-1 Europa , as part of the groundbreaking Centaur project. This is a

### Sr. Director, Field Technology and AI - Elastic NV
- Location: United States (unspecified)
- Salary: $212K-$336K
- Posted: 2026-05-27
- Parental leave: 16 weeks (not source-backed)
- 401(k) match: 6% (not source-backed)
- Apply: https://jobs.elastic.co/jobs?gh_jid=7954418&gh_jid=7954418
- Excerpt: Sr. Director, Field Technology and AI United States Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As the Sr. Director, Field Technology and AI, you will lead the GTM Technology organization responsible for accelerating and applying AI across Elastic's Go-to-Market motion. Reporting into Revenue Operations leadership, you will own the strategy, roadmap, and execution for four interconnected teams: Engineering, Data Science, Customer Data Strategy, and Application Administration. Together these teams form the engine for AI-driven GTM transformation at Elastic. This is a senior, enterprise-wide leadership role with a strong team and clear direction. Data Science creates new synthetic signals for action. Customer Data Strategy ensures the underlying data is certified and trustworthy for all teams. The Field Engineering team builds the systems that operationalize it inside GTM workflows. Application Administration sustains the platforms where it all comes to life. Your responsibility is to align these disciplines into a single, coherent operating model that solves GTM

### Senior AI Engineer - AI & Credit Analytics - Experian
- Location: Remote | ,, ,, United States (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.smartrecruiters.com/Experian/744000128527695-senior-ai-engineer-ai-credit-analytics
- Excerpt: Senior AI Engineer - AI & Credit Analytics Remote | ,, ,, United States Company Description: Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description: This position is in our Financial Services and Data group, and works heavily in credit analytics. You will report to the Senior Director of Data Modelling. This is a remote position. You will build scalable, production-grade AI systems that automate and enhance credit analytics and credit decisioning workflows . Develop and integrate AI solutions across the credit lifecycle , including origination, underwriting, limit setting, portfolio monitoring, and model validation . You will develop evaluation and guardrail frameworks to ensure response accuracy, reduce hallucinations, and support human-in-the-loop review , including offline testing with ground‑truth datasets. You will develop and operate enterprise-grade AI services with a focus on scalability, security, reliability, performance, and latency optimization . You will implement LLMOps and GenAI operational practices , including prompt management, model versioning, monitoring, CI/CD pipelines, and observability for cost, latency, and response quality. You will partner with analytics, engineering, and product teams to embed AI into existing platforms and deliver new AI‑driven capabilities across the organization. You will evaluate and adopt modern orchestration frameworks and cloud-native

### Forward Deployed Engineer, GenAI - Scale AI
- Location: San Francisco, CA; New York, NY (unspecified)
- Salary: $179K-$224K
- Posted: 2025-08-05
- Apply: https://job-boards.greenhouse.io/scaleai/jobs/4593571005
- Excerpt: Forward Deployed Engineer, GenAI San Francisco, CA; New York, NY About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing

### Agentic AI Scientist - AstraZeneca
- Location: US - Durham - NC (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- 401(k) match: listed (not source-backed)
- Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/US---Durham---NC/Associate-Principal-AI-Scientist_R-250533
- Excerpt: Agentic AI Scientist US - Durham - NC posted: Posted 3 Days Ago

### Sr. Technical Program Manager (TPM) - Together AI
- Location: San Francisco (unspecified)
- Salary: $225K-$265K
- Posted: 2025-02-25
- Apply: https://job-boards.greenhouse.io/togetherai/jobs/4661776007
- Excerpt: Sr. Technical Program Manager (TPM) San Francisco About the Role As a Senior Infrastructure Technical Program Manager (TPM) at Together AI, you will be at the core of building, optimizing, and scaling the global GPU resources needed for a pioneering AI infrastructure company. Your role is crucial in ensuring that the backbone of our AI models, thousands of GPUs distributed around the world, operates efficiently and reliably, enabling cutting-edge AI advancements that democratize access to AI technology globally. You will drive cross-functional excellence by streamlining critical workflows and enhancing communication across internal and external teams. Join top engineers, researchers, and innovators to shape the future of AI infrastructure and power the next generation of AI-driven solutions. Responsibilities - Product Development: Design and build products for AI researchers, developers, and enterprise customers, translating technical requirements into product features and collaborating with research, engineering, and design teams. Develop and execute strategic plans for the Observability, Storage, Network Engineering, and Security infrastructure teams. - End-to-End Product Ownership: Own a comprehensive product roadmap, detailing key features, enhancements, and releases. Drive end-to-end product development, manage development and testing, and lead launches. - Stakeholder Engagement : Engage with stakeholders to understand their needs, pain points, and feedback. Drive initiatives to enhance customer satisfaction and loyalty through product improvements and innovative solutions. - Cross-Functional Execution: Lead and align diverse cross-functional teams - including Research, Engineering, DevOps, SRE, and Go-to-Market - to ensure seamless project delivery and organizational success. Requirements - ML Product or Infrastructure Experience : 5+

### Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist - Amazon
- Location: Tokyo, JPN (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-21
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3162964/senior-genai-agentic-ai-sales-manager-aws-global-sales-specialist
- Excerpt: Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist Tokyo, JPN Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? Amazon Web Services (AWS) is advancing the next evolution of cloud computing with Generative AI and Agentic AI technologies. We are seeking a Senior GenAI / Agentic AI Sales Manager who brings strong technical AI knowledge together with a customer-centric, outcomes-focused approach to revenue growth. This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful adoption at scale. If you enjoy collaborating with diverse stakeholders, communicating technical concepts with clarity, and contributing to long-term customer success, we encourage you to apply. AWS Global Sales supports customers of all sizes across the region to innovate and grow in the cloud. As organizations increasingly adopt foundation models, large language models (LLMs), and autonomous AI agents, we are expanding our team of technical sales professionals who can identify opportunities, build sustainable pipelines, and guide customers through complex AI adoption journeys across the Asia Pacific Japan (APJ) region. Key job responsibilities Sales & Revenue Contribution - Support the achievement of sales targets by developing and maintaining a healthy pipeline and guiding customers through end-to-end sales cycles, from discovery through agreement - Create thoughtful account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools - Collaborate with customers to identify

### AI Generalist (No Experience Required) (US Only) - Freelance AI Trainer Project - Agency
- Location: United States of America (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4677212101
- Excerpt: AI Generalist (No Experience Required) (US Only) - Freelance AI Trainer Project United States of America AI Generalist (No Experience Required) We are offering a project-based opportunity for independent contributors who are curious about artificial intelligence and excited to learn how advanced AI models are built, evaluated, and improved. These opportunities may be suitable for people who are early in their academic journey, exploring potential specialties, or simply eager to engage on real-world AI development work on a flexible project-by-project basis. In this project, you will interact directly with AI systems, review model outputs, follow clear task guidelines, and contribute to the creation of high-quality training data. You may work on activities such as evaluating responses, identifying inconsistencies, providing feedback, or helping structure information so that models learn more effectively. All tasks are well-defined, and you will receive task guidance and examples to help you succeed. You should be comfortable working independently, paying close attention to detail, and communicating clearly about what you observe. A thoughtful, reflective approach-explaining your reasoning and noting uncertainties-is highly valued, as it helps improve both the models and the training process. This project is well-suited for individuals who enjoy problem-solving, learning through practice, and contributing to innovative technology. This project offers a unique opportunity to gain practical exposure to AI development without needing a technical background. During your engagement you may pick up transferable skills in critical thinking, evaluation, and structured communication while contributing to systems that are shaping the future of technology across many

### Principal Engineer - AI Agents and Systems - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Engineer---AI-Agents-and-Systems_JR2015498
- Excerpt: Principal Engineer - AI Agents and Systems 2 Locations posted: Posted 30+ Days Ago

### Data Scientist - Accenture Federal Services
- Location: Arlington, VA (unspecified)
- Salary: $117K-$243K
- Posted: 2026-05-26
- Apply: https://boards.greenhouse.io/accenturefederalservices/jobs/4683257006?gh_jid=4683257006
- Excerpt: Data Scientist Arlington, VA At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work As a Data Scientist in this role, you will play a pivotal part in advancing operational AI adoption within a cutting-edge Hub-and-Spoke architecture. Key responsibilities: - Apply entity resolution, graph analytics, and geospatial analytics tools to extract actionable insights from complex data sets - Design, build, and deploy explainable AI models using Python AI ecosystems, includingTorch, Scikit-learn, and LLM frameworks - Collaborate with cross-functional teams to integrate AI, DevSecOps, data engineering, platform engineering, and cybersecurity into scalable software delivery pipelines - Support the adoption of operational AI through a modern Hub-and-Spoke architecture, enabling enterprise AI governance and agentic AI systems - Contribute to the continuous monitoring and observability of AI-enabled workflows and mission-focused operational intelligence applications - Work closely with stakeholders to ensure AI solutions align

### Lead Software Engineer - OfficeSpace Software
- Location: United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-07
- Apply: https://job-boards.greenhouse.io/officespacesoftware/jobs/5175972008
- Excerpt: Lead Software Engineer United States About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You're a great fit for the role if you're entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. Role Summary: As our Lead Full Stack Software Engineer, you will own the future of how OfficeSpace builds, hosts, monitors, and deploys AI features, from Chatbots to Customer facing MCP Servers to Autonymous agents that handle day to day facilities management tasks. We move fast. We expect precision. And we trust you to own outcomes. What You'll Do: - Lead the architecture and production evolution of OfficeSpace's AI platform. - Design and operate Python-based AI services that integrate deeply with our Ruby on Rails backend and React frontend. - Partner with our Devops team to define best practices for deploying and hosting AI agents - Act as the technical owner for AI reliability-defining guardrails, observability, testing strategies, and failure modes for AI-driven functionality. - Build and evolve full-stack systems with a long-term mindset-maintainable code, extensible architectures, and clean interfaces. - Define and drive performance benchmarks across AI systems, using metrics, profiling, and load testing to improve latency,

### AI Developer Advocate - Mistral AI
- Location: Paris (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-16
- Apply: https://jobs.lever.co/mistral/fd865fe4-7344-43b0-9d8d-600e8b366725
- Excerpt: AI Developer Advocate Paris About Mistral AI At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet both enterprise and personal needs. Our offerings include Le Chat, Studio, Mistral Code, and Mistral Compute-a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. About The Job Mistral AI is seeking a Senior/Staff AI Developer Advocate to join our team and actively contribute to the community, with a focus on driving content around enterprise AI use cases. You will lead developer relations initiatives, engage in development and integration of open-source AI ecosystem projects, and drive enterprise-focused developer education and adoption. What you will do • Develop enterprise-focused, high-quality demos and sample code that enable developers to effectively understand and utilize Mistral AI's products and integrations. • Create and deliver high-impact technical content (webinars, demos, talks, workshops) to drive adoption and education among developers and enterprises. • Actively engage with the developer community by resolving issues, providing answers, and offering guidance to users, fostering a supportive

### Forward-Deployed AI Engineer - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Forward-Deployed-AI-Engineer_R168316-1
- Excerpt: Forward-Deployed AI Engineer 2 Locations posted: Posted 7 Days Ago

### AI Engineer - HockeyStack
- Location: San Francisco | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/hockeystack/449b62dd-434d-4f42-b005-cf2bc74dba4d
- Excerpt: AI Engineer San Francisco | OnSite HockeyStack is building the agent infrastructure for enterprise revenue. We spent five years building the only data architecture that preserves causality across the full revenue stack - every interaction, every signal, in sequence. On top of that foundation, we built Nex-lm, a purpose-built AI engine that compiles natural language into deterministic agent workflows. The result is a platform that can extract the revenue blueprint from a company's data, encode it into repeatable automations, and execute it across sales, marketing, and customer success - consistently, at scale. We are not building a dashboard tool with an AI feature. We are building the operating layer that replaces the human bottleneck in enterprise revenue organizations. This is a category being defined right now, and we intend to own it. We have raised $50M+ from Bessemer Venture Partners, General Catalyst, Y Combinator, and others. We operate fully in-person in San Francisco. We move fast and we hire people who want to win. Since launching late 2023, we have grown to 8-figures in ARR, process over 60 TB of revenue data monthly, and we are working with some of the largest B2B companies in the world like Microsoft, Harvey, New Relic, Collibra, etc. 🚀 YOUR MISSION As an AI Engineer your mission is to harness the power of agentic AI in building the single portal where GTM team members go to grow their business. You'll push the boundaries of what LLMs can do - designing systems that don't just

### Principal AI Ops Architect, GPS - Scale AI
- Location: Doha, Qatar; London, UK (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-10
- Apply: https://job-boards.greenhouse.io/scaleai/jobs/4671740005
- Excerpt: Principal AI Ops Architect, GPS Doha, Qatar; London, UK Role Overview Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we're not just building AI solutions-we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. You will: - Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. - Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. - Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. - Navigate global compliance: Manage

### AI Hardware Architect - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/AI-Hardware-Architect_JR2015198
- Excerpt: AI Hardware Architect 2 Locations posted: Posted 30+ Days Ago

### AI Applications Ops Lead, GPS - Scale AI
- Location: Doha, Qatar; London, UK (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-30
- Apply: https://job-boards.greenhouse.io/scaleai/jobs/4654510005
- Excerpt: AI Applications Ops Lead, GPS Doha, Qatar; London, UK Role Overview Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we're not just building AI solutions-we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. You will: - Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. - Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. - Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. - Navigate global compliance: Manage

### Deployable Low Observable Survivability Specialist 2/3 - Top Secret - Northrop Grumman Corporation
- Location: United States-California-Edwards AFB (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://ngc.eightfold.ai/careers/job/1340071741364
- Excerpt: Deployable Low Observable Survivability Specialist 2/3 - Top Secret United States-California-Edwards AFB

### Senior Lead AI Engineer - Capital One Financial Corporation
- Location: 5 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/New-York-NY/Senior-Lead-AI-Engineer_R241089-2
- Excerpt: Senior Lead AI Engineer 5 Locations posted: Posted 30+ Days Ago

### Edge AI Engineer - Jabil
- Location: Penang (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Penang/Edge-AI-Engineer_J2444506
- Excerpt: Edge AI Engineer Penang posted: Posted 30+ Days Ago

### Corporate and Securities Counsel - Elastic NV
- Location: United States (unspecified)
- Salary: $128K-$203K
- Posted: 2026-05-29
- Parental leave: 16 weeks (not source-backed)
- 401(k) match: 6% (not source-backed)
- Apply: https://jobs.elastic.co/jobs?gh_jid=7960714&gh_jid=7960714
- Excerpt: Corporate and Securities Counsel United States Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Reporting to the Assistant General Counsel and Deputy Corporate Secretary, with a dotted line to the Director of Corporate Legal, we are looking to hire a U.S.-based Corporate and Securities Counsel to join our Corporate, M&A and Procurement legal team in this dynamic, growing and truly globally distributed company. We are looking for an enthusiastic forward-thinking individual with great judgement and interpersonal skills, who thrives in a distributed work environment. The ideal candidate will manage their time, have a growth mindset and will be keen to learn and grow with us, including with the use of AI and other technology tools to help us advance faster. What You Will Be Doing - Reporting pursuant to and compliance with rules and regulations of the U.S. Securities and Exchange Commission such as annual and quarterly reports on forms 10-K and 10-Q, proxy statements,

### Senior Member of Technical Staff, Multimodal AI - Cohere Health
- Location: San Francisco | Remote | New York | Toronto | Montreal | Paris (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/cohere/443368a3-6276-4b90-9671-27fed40fd6d2
- Excerpt: Senior Member of Technical Staff, Multimodal AI San Francisco | Remote | New York | Toronto | Montreal | Paris Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? At Cohere, we believe in the power of multimodal AI to revolutionise the way we interact with technology. Our engineering teams push the boundaries of what's possible, and we're looking for talented individuals to join us on this exciting journey. With an exceptional ratio of compute resources to engineers, we provide an ideal environment for you to explore, innovate and shape the future of AI. July 31st 2025 - Cohere's Multimodal team Introduced Command A Vision: Multimodal

### Software Engineer, GPU Infrastructure (HPC) - Cohere Health
- Location: Canada | Hybrid | United States | Remote (hybrid)
- Salary: Not disclosed
- Posted: 2026-06-10
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/cohere/ef9b939d-da66-464c-a878-ef45616c0473
- Excerpt: Software Engineer, GPU Infrastructure (HPC) Canada | Hybrid | United States | Remote Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this team? The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North. Please Note: All

### Senior Applied Scientist, ASCS AI Lab Team - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $167K-$226K
- Posted: 2025-12-17
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3144920/senior-applied-scientist-ascs-ai-lab-team
- Excerpt: Senior Applied Scientist, ASCS AI Lab Team Seattle, Washington, USA We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences. Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation. Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store. Key job responsibilities - Design and implement novel AI solutions for Amazon catalog of products - Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models - Build and deploy autonomous AI Agents in Amazon production ecosystem - Scale AI models to handle billions of diverse products across multiple languages and geographies - Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models,

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Source-backed benefit claims include source links; other benefit values are labeled separately.