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22 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
Moderna
$145,900 – $234,200
Moderna seeks a senior technical leader to architect and operate AI/ML platforms for supply chain and enterprise systems, combining deep AI/GenAI expertise with cloud infrastructure and regulated industry knowledge. This role suits engineers with 7+ years building production AI systems who can mentor teams, set standards, and bridge data science with enterprise-grade software delivery in a pharmaceutical context.
Listed on Moderna’s careers site · Apply there ↗
General Mills
Full-time · Minneapolis, MN · $110,800 – $184,800 · Remote
This role involves building machine learning and AI systems to support data-driven decision-making across General Mills' operations. The position suits experienced data scientists who can design and deploy generative AI solutions, translate business problems into statistical models, and communicate findings to non-technical stakeholders.
Listed on General Mills’s careers site · Apply there ↗
Accenture
You will design and deploy production agentic AI systems for enterprise clients, working across the full stack from multi-agent orchestration to RAG pipelines and LLMOps. This role is for engineers with proven shipping experience in production AI systems, not just prototyping, who can architect solutions that integrate multiple LLM providers and scale beyond individual engagements.
Listed on Accenture’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $320,000 – $405,000
Lead Anthropic's search platform team, managing engineers who build the indexing, retrieval, and ranking systems that power Claude's web search capabilities. This role combines engineering leadership with hands-on technical depth and product judgment, suited for someone with direct experience operating search systems at scale who can balance multiple competing demands across product, research, and infrastructure.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Mem0
Full-time · San Francisco, CA · $150,000 – $190,000
This role embeds engineers directly with Mem0's strategic customers to build and deploy integrations of their AI memory platform, translating real-world problems back into product improvements. It suits engineers who want rapid feedback cycles and the satisfaction of seeing their code solve customer problems in weeks rather than quarters.
Listed on Mem0’s careers site · Apply there ↗
Plug n Play Portfolio
New York, NY · $275,000 – $330,000
EvolutionIQ is hiring a Senior Staff or Principal Software Engineer to architect agentic systems for insurance claims processing and serve as a technical bridge between product and platform teams. This role suits experienced engineers who combine startup pragmatism with enterprise-scale systems thinking and enjoy translating business strategy into technical roadmaps.
Listed on Plug n Play Portfolio’s careers site · Apply there ↗
OpenRouter
Remote (US) · $250,000 – $285,000
OpenRouter is seeking a Research Scientist to conduct original research on large language model evaluation, routing, and behavior using their massive dataset of LLM generations. This role suits someone who wants to drive the direction of their own research agenda and produce publishable work that influences how the industry understands and deploys AI systems.
Listed on OpenRouter’s careers site · Apply there ↗
Sourcegraph
Remote · $88,000 – $176,000
This is a senior agent engineering role on Sourcegraph's Code Understanding team, focused on building AI-powered code navigation and analysis products. It suits experienced ML engineers who have shipped agentic systems in production and want to lead technical direction on infrastructure that bridges deterministic systems with large language models.
Listed on Sourcegraph’s careers site · Apply there ↗
Help Scout
Full-time · United States · $187,000 – $214,000 · Remote
A full-stack product engineer who leads the creation of AI-powered customer service features from backend infrastructure through polished user interfaces, bringing particular strength in frontend craft while owning outcomes across the entire product lifecycle. This role suits engineers comfortable building real, production-grade LLM features end-to-end and who care deeply about verification, reliability, and customer signal.
Listed on Help Scout’s careers site · Apply there ↗
Notion
Full-time · San Francisco, CA · $130,000 – $150,000 · Remote
Notion seeks an early-career engineer to build AI-powered features across product, infrastructure, or evaluation work, partnering with design and product teams to ship intelligent capabilities that millions will use. This role suits engineers with foundational computer science knowledge and hands-on exploration of AI through projects or internships who want to move from prototype to production in a high-impact product company.
Listed on Notion’s careers site · Apply there ↗
Spotter
Full-time · Culver City, CA · $167,000 – $185,000
This role builds machine learning systems that help YouTube creators optimize their content and business decisions, emphasizing production reinforcement learning, bandit algorithms, and recommendation systems. It's suited to experienced ML scientists who thrive shipping models to real users and iterating based on production feedback.
Listed on Spotter’s careers site · Apply there ↗
Bend Studio
Full-time · San Diego, CA · $150,000 – $225,000
Sony Interactive Entertainment seeks an AI software engineer to design and deploy production AI systems—including LLM-powered workflows, retrieval-augmented generation, and agentic systems—that solve real business problems across PlayStation's digital commerce and player-facing services. This role suits a strong backend or platform engineer with hands-on experience building applied AI features and shipping them reliably to scale.
Listed on Bend Studio’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 ↗
XPeng
Full-time · Santa Clara, CA · $244,140 – $413,160
XPENG is seeking a hands-on Senior Staff AI Engineer to design and deploy production-grade AI systems that leverage large language models, retrieval-augmented generation, and agentic workflows across the organization. The role suits experienced AI systems engineers who can architect reusable patterns, establish best practices, and drive AI adoption while partnering with product and engineering teams to deliver measurable impact.
Listed on XPeng’s careers site · Apply there ↗
impact.com
Full-time · New York, NY · $100,000 – $125,000
This role builds machine learning systems that recommend partnerships, products, and creators across impact.com's network of advertisers, publishers, and consumers. It suits experienced data scientists who can own projects end-to-end—from problem definition through production deployment—and who want to apply graph neural networks and embeddings to a real-world, multi-entity recommendation problem at scale.
Listed on impact.com’s careers site · Apply there ↗
Bluefish
New York, NY
This role involves defining and executing product strategy for AI-powered brand data analysis tools, working at the intersection of machine learning, data engineering, and go-to-market functions. It suits experienced product managers with strong technical foundations in NLP and data systems who want hands-on influence over a core platform serving enterprise customers.
Listed on Bluefish’s careers site · Apply there ↗
Krea AI
Full-time · San Francisco, CA
A machine learning engineer role building personalization and recommendation systems for an AI creative tools company. This suits someone experienced with recommendation systems and media-based personalization who wants to own a full product stack from research through production.
Listed on Krea AI’s careers site · Apply there ↗
Intuit
Mountain View, CA · $211,500 – $306,000
A technical leadership role developing AI agents and recommendation systems for Intuit's consumer products. Suited for experienced ML scientists who want to architect both agentic AI and classical recommendation systems that impact millions of users.
Listed on Intuit’s careers site · Apply there ↗
Full-time · Remote - United States · $266,000 – $372,400
Lead Reddit's machine learning embeddings platform team, overseeing the design and evolution of foundational ML infrastructure that powers recommendations and content discovery across the company. This role suits an experienced engineering manager with deep expertise in large-scale ML systems and a track record of building and mentoring high-performing teams.
Listed on Reddit’s careers site · Apply there ↗
Mem0
Full-time · San Francisco, CA · $150,000 – $250,000
This role involves building the user-facing product for Mem0's AI memory infrastructure using Next.js and Python. It suits experienced full-stack engineers who want end-to-end ownership of features in a fast-moving, well-funded startup where technical decisions directly shape the product.
Listed on Mem0’s careers site · Apply there ↗
Help Scout
Full-time · United States · $162,000 – $182,000 · Remote
You'll build AI-powered customer service features end-to-end at Help Scout, combining strong frontend skills with full-stack capability to ship retrieval, agentic workflows, and polished interfaces that support agents. This role suits engineers who have shipped real LLM products, care deeply about quality and reliability, and want to own outcomes from problem definition through production metrics.
Listed on Help Scout’s careers site · Apply there ↗
Notion
Full-time · San Francisco, CA · $213,000 – $334,000 · Remote
This role involves building and scaling AI-powered features for Notion's Custom Agents product, working at the intersection of machine learning, backend systems, and user-facing product development. It suits engineers who enjoy shipping end-to-end features with real impact and are energized by the intersection of AI technologies and product design.
Listed on Notion’s careers site · Apply there ↗