Odyssey (odyssey.ml)
Jobs at Odyssey (odyssey.ml)
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.
Success! We'll use this to further personalize your experience.
Recently posted jobs
Artificial Intelligence • Information Technology • Software
Lead the ML platform and infrastructure (data, evaluation, compute). Own roadmap, build and scale distributed engineering teams, partner with Research and Applied ML to prioritize work, remain technically hands-on, and report to the CTO.
Artificial Intelligence • Information Technology • Software
Lead and grow Odyssey's Frontier ML research group, set and execute the research agenda across world simulation, multimodality, robotics, and multi-agent systems, run experiments hands-on, define publication strategy, and represent Odyssey externally.
Artificial Intelligence • Information Technology • Software
Lead and execute Odyssey's compute partnerships: build commercial and technical co-sell motions with hyperscalers and chip makers, define return-on-compute strategy, scope and deploy cloud infrastructure with Solutions Architects and engineering, close enterprise cloud deals, and coordinate cross-functional teams to track consumption, pipeline, and partner outcomes.
Artificial Intelligence • Information Technology • Software
Build and lead robotics commercialization: set commercial strategy and revenue milestones, own and close strategic deals, structure partnerships (edge deployment, SDK, cloud/co-sell), partner with Data Operations on data+sales deals, translate research capabilities into products, hire and scale the GTM team, and work closely with founders.
Artificial Intelligence • Information Technology • Software
Provide high-trust executive support to the CEO and CTO, manage calendars, travel, and logistics; plan events and board meetings; run day-to-day Palo Alto office operations; track leadership action items with the Chief of Staff; and lead special operational projects to improve execution and office experience.
Artificial Intelligence • Information Technology • Software
The Data Program Manager bridges research and data operations, managing vendor relationships and ensuring effective data acquisition for AI projects while also tracking quality metrics and prioritizing stakeholder needs.
Artificial Intelligence • Information Technology • Software
Serve as Odyssey's first in-house General Counsel: build the legal function and processes; manage corporate, commercial, employment, IP, data/privacy, and regulatory work; negotiate compute, multi-cloud, and hyperscaler deals; create contract templates and playbooks; manage cross-border entity, governance, and US employment compliance; decide in-house vs external counsel; support financings and board matters.
Artificial Intelligence • Information Technology • Software
Manage delivery and execution of R&D and commercial partnerships: own timelines, milestones, onboarding, documentation, and cross-team coordination. Act as primary operational contact, resolve bottlenecks, ensure security diligence, and translate research blockers into actionable updates for leadership.
Artificial Intelligence • Information Technology • Software
The Head of Product will define and drive the product roadmap, focusing on developer and customer insights and ensure execution across teams, while shaping product research interface and priorities based on real user behavior.
Artificial Intelligence • Information Technology • Software
The role involves defining and pursuing a research project in general-purpose world models, collaborating with teams to advance visual AI.
Artificial Intelligence • Information Technology • Software
Lead Odyssey's external policy engagement and build the policy function. Define governance positions for world models, advise leadership and product/research teams on regulatory and geopolitical risks, represent the company to policymakers, and translate developments into strategy and recommendations for the CEO.
Artificial Intelligence • Information Technology • Software
Lead strategic, high-sensitivity research recruiting: partner with research leadership to define talent needs, map the research landscape, build long-term candidate relationships, run senior-level searches, advise on positioning and compensation, and establish talent intelligence and recruiting standards.
