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18 open listings
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Bristol Myers Squibb
Full-time · $137,530 – $183,319
This is a hands-on senior AI engineering role building cloud-native, AI-powered applications and agentic systems for pharmaceutical use cases. The position suits experienced backend engineers who are comfortable with frontier AI technologies, want to work on high-impact problems in a fast-paced delivery model, and can bridge AI capabilities with production reliability and enterprise architecture.
Listed on Bristol Myers Squibb’s careers site · Apply there ↗
Warner Bros. Discovery
Atlanta, GA
You'll design and deploy production machine learning models and generative AI solutions across Warner Bros. Discovery's streaming, gaming, and content platforms, working at the intersection of statistical rigor and business impact. This senior individual contributor role suits experienced data scientists who thrive building scalable analytics systems and translating complex business problems into measurable enterprise value.
Listed on Warner Bros. Discovery’s careers site · Apply there ↗
Mastercard
Full-time · New York, NY · $245,000 – $391,000
This Vice President role leads product strategy for an enterprise AI platform that enables internal teams to safely build, deploy, and scale AI agents. It suits experienced product leaders who have built platforms in regulated industries and can bridge technical AI capabilities with governance, risk management, and business value.
Listed on Mastercard’s careers site · Apply there ↗
LSEG
New York, NY · $126,900 – $211,500
This role blends product management with hands-on AI engineering, building agentic systems that operate on financial data at scale. It suits someone with deep technical roots in ML or software who has shipped LLM-powered products and can own both the "what" and the "how" of complex AI systems.
Listed on LSEG’s careers site · Apply there ↗
Protege
Remote
A machine learning engineer role focused on building evaluation infrastructure and benchmarks for AI models at an early-stage data platform company. This suits engineers with ML experience who want to own full-stack infrastructure problems and work closely with customers and researchers to shape a new product vertical.
Listed on Protege’s careers site · Apply there ↗
Shield AI
Full-time · Washington, DC · $233,760 – $350,640
This senior engineer role involves building and deploying machine learning models that help autonomous defense systems perceive and understand their environment, bridging research and production. It suits experienced ML engineers who want to work on vision and vision-language models at scale while solving real-world deployment challenges for military applications.
Listed on Shield AI’s careers site · Apply there ↗
Ando
Full-time · San Francisco, CA
A research role building evaluation frameworks and benchmarks for AI agents in a messaging platform, working with real production data to measure whether agent behavior improvements actually help teams. Best suited for researchers who have shipped evaluation systems and can bridge the gap between offline benchmarks and live product performance.
Listed on Ando’s careers site · Apply there ↗
MovieMagic
Tempe, AZ
Entertainment Partners is hiring a senior AI engineer to develop and deploy machine learning models and AI systems for its entertainment technology products. This role suits someone with strong PyTorch and transformer expertise who can move models from research through production while maintaining software engineering rigor.
Listed on MovieMagic’s careers site · Apply there ↗
Motional
Full-time · Boston, MA · $144,000 – $192,000 · Remote
This role builds machine learning systems that automatically discover critical edge cases and failures in autonomous vehicle sensor data, helping improve safety through smarter data mining and analysis. It suits engineers who want to apply foundation models and representation learning to solve real-world problems at scale in a rapidly advancing industry.
Listed on Motional’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · San Francisco, CA · $305,000 – $460,000
This role leads the performance and launch strategy for Claude Code, Anthropic's AI coding agent, by building evaluations, coordinating with research and engineering teams, and translating model improvements into capabilities developers actually need. It suits PMs with hands-on experience building AI evaluations, deep familiarity with coding models, and the ability to bridge research breakthroughs with shipped products.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Sentry
San Francisco, CA · $220,000 – $450,000 · Remote
Lead Sentry's Machine Learning Engineering team, directing the full spectrum of ML work from classical techniques to LLM-based systems that power developer tools. This role suits experienced ML engineers who want hands-on technical leadership, enjoy cross-functional collaboration, and are passionate about shaping the future of AI in developer workflows.
Listed on Sentry’s careers site · Apply there ↗
Udacity
Contract · Remote
Udacity seeks experienced AI/ML professionals to mentor learners through personalized sessions, technical deep-dives, and group Q&A as part-time independent contractors. This role suits seasoned practitioners who enjoy teaching and want to share their expertise while maintaining flexibility around other commitments.
Listed on Udacity’s careers site · Apply there ↗
Pendo
New York, NY · $245,000 – $275,000
A staff-level role building production AI systems and LLM-powered features for a product intelligence platform. This suits experienced AI engineers who thrive designing end-to-end systems, making model strategy decisions, and collaborating across product and engineering to ship user-facing AI products.
Listed on Pendo’s careers site · Apply there ↗
Front
Full-time · San Francisco, CA · $220,000 – $300,000
Lead Front's Core AI Platform team, managing senior AI engineers to build foundational infrastructure that powers AI experiences across the product while staying ahead of rapid advances in AI/ML. This role combines hands-on technical leadership with strategic oversight of LLM integrations, RAG systems, and platform capabilities that enable product teams to ship AI features reliably at scale.
Listed on Front’s careers site · Apply there ↗
Pendo
Full-time · New York, NY · $209,000 – $235,000
This role builds AI-native products for a product intelligence platform, combining LLM systems with full-stack engineering to ship user-facing features from prototype to production. It suits experienced engineers who excel at navigating technical ambiguity, making principled architectural choices, and partnering with product teams to define what should be built.
Listed on Pendo’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $365,000 – $435,000
This role leads technical program management across Anthropic's research organization, working across domains like compute infrastructure, model evaluation, and reinforcement learning to remove blockers and enable researchers. It suits people with ML backgrounds who excel at operating complex systems, can learn quickly across unfamiliar technical territory, and thrive in high-stakes, ambiguous environments.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Udacity
Contract · Remote
Mentor experienced AI professionals through Udacity's business-focused curriculum, helping managers and executives understand how AI is deployed in real organizations. This role suits practitioners with production AI experience who can translate technical concepts into business value and facilitate group learning for senior professionals.
Listed on Udacity’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $350,000 – $500,000
This role involves implementing and optimizing post-training techniques for Anthropic's large language models, translating research methods like Constitutional AI and RLHF into production systems. It suits engineers who combine strong software skills with deep learning expertise and thrive balancing research innovation with operational reliability at scale.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗