{"id":800482,"url":"https://alion.io/job/flexion-ai-research-scientist-united-states","title":"AI Research Scientist - United States","company":{"id":673914,"name":"Flexion Robotics","domain":"flexion.ai","url":"https://alion.io/company/flexion","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workable","truth_index":{"grade":"A","score":86,"open_postings":9,"ghost_share":0,"stale_share":0.556,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":168000,"max_usd":361000,"period":"year","method":"role_country_seniority_unknown","sample_n":2391},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Diffusion Models","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Isaac Gym","optional":false},{"name":"Machine Learning","optional":false},{"name":"MuJoCo","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SFT","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-03-23T00:00:00Z","employer_posted_date":"2026-03-23","last_verified_at":"2026-09-24T00:29:00Z","board_verified":true,"closed_at":null,"days_open":185,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":184},"description":"About Flexion:\nAt Flexion, we’re building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.\nFifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco.\nThe Role:\nIf you are among the most capable, and ambitious robotics researchers in the country, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you.\nYou will join the first wave of US research scientists at Flexion, set the agenda together, own the problems that matter most, and deploy real solutions on real hardware. You will work directly with a world class team across two continents on challenges that have no published answers yet.\nKey Responsibilities:\nDrive original research in learning-based robotics - from concept to hardware deployment\nOwn your research direction: define problems, design experiments, and iterate fast\nCollaborate directly with Flexion’s Zurich research team across Manipulation, Motion Generation, and Perception\nContribute to a shared culture of scientific rigour, velocity, and impact\nRequirements\nPhD in Robotics, Machine Learning, or a closely related field - completed or near completion\nProven track record of deploying learning-based controllers on real robotic hardware\n Expert-level knowledge in:\nReinforcement learning\nPhysics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent)\nPython and PyTorch, including training large-scale neural networks\n Deep expertise in at least two areas of the following:\nDiffusion models\nFlow matching\nDexterous manipulation\nSim-to-real transfer and real-to-sim calibration\nWhole-body control and loco-manipulation\nSynthetic data generation for robot learning\nVision Language Model Fine-Tuning (SFT and RL-based)\nTransformer-based 3D Scene Understanding\nBenefits\nCompetitive compensation package\nComprehensive health and retirement plan benefits\nA front-row seat at one of the world’s most ambitious robotics companies\nAn energetic, collaborative team with a relentless bias for action\nThe opportunity to build something no one has ever done in this field - alongside the world’s leading researchers","description_format":"text","description_chars":2760,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Hardware","Robotics"],"lifecycle":[{"event":"open","at":"2026-09-12T07:26:43Z"}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.13,"p_room":0.28,"age_days":184,"expected_fill_days":21,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-09-23T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/flexion-ai-research-scientist-united-states","json_url":"https://alion.io/job/flexion-ai-research-scientist-united-states.json","meta":{"generated_at":"2026-09-24T00:48:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}