{"id":141398,"url":"https://alion.io/job/waabi-research-engineer-world-models","title":"Research Engineer, World Models","company":{"id":4483,"name":"Waabi","domain":"waabi.ai","url":"https://alion.io/company/waabi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":92,"open_postings":66,"ghost_share":0,"stale_share":0.106,"repost_share":0,"time_to_fill_p50_days":150,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada","San Francisco, United States","Pittsburgh, United States"],"countries":["CA","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":225000,"period":"year","method":"role_country_seniority_unknown","sample_n":181},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"JAX","optional":false},{"name":"Kubeflow","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"ONNX","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"TensorRT","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"VLM","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-04-02T15:36:53Z","employer_posted_date":"2026-04-02","last_verified_at":"2026-10-19T01:34:11Z","board_verified":true,"closed_at":null,"days_open":199,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":198},"description":"Waabi’s autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.\nThis role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.\nYou will…\nDesign, implement, and scale state-of-the-art generative and predictive world-modeling systems:Video generation and prediction\nLatent diffusion / autoregressive / flow-matching models\nMultimodal foundation models for driving scenes\nLLM / VLM / VLA methods for scene understanding, reasoning, and control\nGenerative scenario modeling and controllable simulation\nModel distillation\n\nCollaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines.\nOptimize model training and inference for efficiency, speed, and reliability on large-scale datasets.\nBuild large scale data pipelines to build high quality datasets for training\nEnsure the quality, stability, and maintainability of the world model codebase and infrastructure.\nStay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics.\nQualifications:\n Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment.\nDemonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling.\nExpert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications.\nTeam player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment. \nBonus:\nExperience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray).\nExperience with efficient model serving and deployment (e.g., ONNX, TensorRT).\nPublications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS)","description_format":"text","description_chars":2771,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"},{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving"],"lifecycle":[{"event":"open","at":"2026-04-02T15:36:53Z"}],"visa":[],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.471,"p_room":0.44,"age_days":197,"expected_fill_days":150,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/waabi-research-engineer-world-models","json_url":"https://alion.io/job/waabi-research-engineer-world-models.json","meta":{"generated_at":"2026-10-19T03:20:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1853,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4483},"rest":"https://alion.io/mcp/rest/get_company?id=4483"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwaabi-research-engineer-world-models"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwaabi-research-engineer-world-models"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwaabi-research-engineer-world-models"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/waabi-research-engineer-world-models\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwaabi-research-engineer-world-models"}]}