Top Tech Jobs & Startup Jobs

Own Menlo’s marketing strategy, partnerships, press and media relations, positioning, messaging, launches, and marketing roadmap. Align marketing with product, business, engineering, and research teams while translating technical work into compelling narratives. Measure results, prioritize initiatives, and grow the marketing function over time.

Design, train, and deploy reinforcement learning policies for humanoid manipulation, grasping, dexterous control, and whole-body coordination. Own the MuJoCo-based sim2real pipeline, including rewards, environments, contact modeling, and domain randomization. Test policies on real robot hardware, use telemetry to improve failures, and collaborate with locomotion, controls, and hardware researchers. Open-source robotics and reinforcement learning work where possible.

Design, train, and deploy reinforcement learning policies for bipedal and whole-body humanoid locomotion. Own the sim-to-real pipeline, reward design, domain randomization, MuJoCo training environments, and hardware validation. Improve balance, gait, recovery, and terrain robustness using real-robot telemetry. Collaborate with hardware, controls, and manipulation researchers, while contributing to open-source robotics and research publications.

Deploy and improve humanoid robotic systems in real customer and industrial environments. Diagnose field failures, collect and curate deployment data, fine-tune models, design evaluations, and translate deployment challenges into reusable research and product capabilities. Collaborate with research and platform teams while helping define scalable operating practices for deploying, improving, and scaling robotic systems.

Own the US research-market territory for Asimov, building relationships with university labs, corporate R&D teams, and physical-AI startups. Conduct technical discovery, recommend robot configurations and services, lead demonstrations and deployments, support procurement, expand successful adoptions, and relay customer feedback to product and engineering teams. The role requires technical robotics and AI fluency, hands-on robot operation, public presentations, commercial selling, and frequent travel.

Paid, hands-on fellowship where interns own end-to-end projects in software, systems, infrastructure, applied AI, or research. Work includes shipping production-grade features, debugging across codebases, writing documentation and runbooks, and collaborating with mentors. Minimum three-month on-site placements in Menlo offices; strong ownership, practical debugging, and engineering fundamentals required.

Open invitation for unconventional, hybrid thinkers to join Menlo Research's applied R&D lab building an open-source humanoid robot platform. Contributors work across hardware, locomotion, autonomy, simulation, and software infrastructure, shipping to real robots, using AI as a collaborator, and thriving in fast-moving, high-performance teams.

Design, train, and evaluate multi-modal world models for a humanoid robot platform. Advance self-supervised visual and sensor representations, prototype generative/predictive architectures, own data pipelines, integrate research into real robots, and contribute to sim-to-real, inverse dynamics, and sensor fusion.