{"id":800486,"url":"https://alion.io/job/flexion-research-engineer-generative-humanoid-motion-generation","title":"Research Engineer - Generative Humanoid Motion Generation","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":"structured","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":246000,"period":"year","method":"role_country_seniority_unknown","sample_n":19},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Transformers","optional":false},{"name":"World Models","optional":true}],"status":"live","first_seen_at":"2025-12-22T00:00:00Z","employer_posted_date":"2025-12-22","last_verified_at":"2026-09-23T16:39:06Z","board_verified":true,"closed_at":null,"days_open":275,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":275},"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 deployment of humanoids. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months, we’ve gone from our first line of code to deploying real humanoid capabilities with our partners.\nThe Role:\nWe are looking for an expert in whole-body motion generation and/or vision-conditioned generative models to strengthen our Zurich team.\nInspired by recent successes in neural avatars and computer graphics, we aim to apply similar principles to generate whole-body motions for our humanoid robots.\nThe goal of this position is to develop and deploy state-of-the-art multimodal generative models for robot trajectory generation.\nRequirements\nHands-on experience in the development and training of generative models, including diffusion, flow matching, or masked-Transformer models. Ideally, this includes either training robotic imitation policies, training models to generate whole-body motions for human avatars, or training a vision-conditioned generative model to predict actions.\nParticularly:\nPhD or master's degree in generative modeling, human motion generation, or learning-based robot trajectory generation with relevant project experience.\nStrong research profile with a high track record of publications at top computer vision, graphics, and/or robotic conferences, such as ICCV/ECCV, CVPR, SIGGRAPH, CORL, RSS, etc.\nExcellent knowledge of Python and PyTorch, with hands-on experience in training and fine-tuning generative models, including diffusion, flow matching, and masked-transformer models.\nExperience in deploying learning-based trajectory generation for robotic systems.\nExperience with modern GPU-based simulations such as Omniverse or Genesis.\nGood knowledge of state-of-the-art machine learning architectures.\nAdditionally, the following skills are a plus but not required:\nExperience with multi-modal generative models.\nExperience with image or video-based action prediction from ego-centric views.\nExperience with ego-centric world models for human avatars or humanoid robots.\nExperience with finetuning foundation models, e.g., Gr00t or SmolVLA, to produce whole-body actions or kinematics motions.\nWe are looking for a person who enjoys working in a team in a very dynamic and fast-moving environment, and who is able and willing to take ownership of projects and decisions.\nBenefits\nCompetitive compensation\nEnhanced pension plan\nEnhanced holiday & paid leave perks\nRelocation & permit sponsorship\nCentral Zürich office with top-tier robotics testing facilities and infrastructure\nJoining Europe's leading robotics team & exposure to never-done-before research\nEnergetic, collaborative culture with a bias for action and regular community events","description_format":"text","description_chars":2965,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"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":275,"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-research-engineer-generative-humanoid-motion-generation","json_url":"https://alion.io/job/flexion-research-engineer-generative-humanoid-motion-generation.json","meta":{"generated_at":"2026-09-23T16:46:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}