{"id":175989,"url":"https://alion.io/job/avride-machine-learning-engineer-motion-planning-prediction","title":"Machine Learning Engineer – Motion Planning & Prediction","company":{"id":63122,"name":"Avride","domain":"avride.ai","url":"https://alion.io/company/avride","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":20,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Austin, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":136000,"max_usd":298000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Motion Planning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Rust","optional":false},{"name":"SLAM","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2025-08-20T19:27:30Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-17T11:36:20Z","board_verified":true,"closed_at":null,"days_open":422,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":422},"description":"About the team\nWe build the software that decides how our autonomous vehicles move through the world. Our systems predict the behavior of pedestrians, cyclists, and other vehicles, then plan trajectories that are safe, comfortable, and legible to the people around them. We work at the intersection of machine learning, large-scale data infrastructure, and real-time vehicle control, collaborating across engineering, analytics, and product teams to deliver safe and intelligent driving capabilities.\nBefore you apply: This role requires hands-on experience building systems that predict how other agents will move and deciding how a vehicle or robot should act in response - deployed on real hardware, not only in simulation or research. If your machine learning experience is primarily in NLP, recommendations, tabular data, or academic research without deployed systems, this specific role likely isn't the right fit, though we encourage you to look at our other openings.\nAbout the role\nWe are looking for a creative & driven Machine Learning Engineer to join our autonomous vehicle team. You will be at the center of our efforts to build intelligent systems that can understand, predict, and safely navigate a complex and dynamic world. You will design and train the models that anticipate what other road users will do next, and turn those predictions into driving decisions. This means working with petabytes of real driving data, building evaluation frameworks that actually correlate with on-road safety, and shipping models that run under hard latency budgets on embedded hardware.\nIn this production engineering role, you will spend meaningful time on failure analysis, long-tail scenarios, and the gap between offline metrics and on-road behavior. If you are passionate about applying cutting-edge ML to solve high-stakes robotics challenges, we want to hear from you.\nWhat You’ll Do\nDesign, train, and deploy models for behavioral prediction and motion planning that run on vehicles in real traffic\nModel multi-agent interaction and temporal dynamics - how a merge, an unprotected left, or an occluded pedestrian actually unfolds\nOwn the metrics: build evaluation frameworks that correlate with real on-road safety and performance, not just offline loss\nDiagnose long-tail failures from real driving logs and close the loop back into training data and model design\nOptimize trained models for real-time inference under strict latency, memory, and compute constraints on embedded hardware\nBuild and maintain data pipelines that process, clean, and label large-scale vehicle sensor and simulation datasets\nWhat You’ll Need\nDomain experience (required):\nHands-on experience with at least one of: behavioral or trajectory prediction, motion planning, decision-making under uncertainty, or closely adjacent autonomy work (navigation, SLAM, control, or perception-for-planning) for autonomous vehicles, mobile robots, drones, or comparable physical systems\nExperience deploying machine learning to real hardware operating in the physical world, under real-time or resource constraints. Simulation-only or offline-only experience does not meet this bar.\nEngineering (required):\nStrong Python and production experience with a modern deep learning framework (PyTorch, TensorFlow, or JAX)\nProficiency in C++ (or Rust) for performance-critical inference and integration code\nDemonstrated ownership of a system from prototype through deployment, including debugging it after it shipped\nHow We Evaluate\nWe weight what you have actually built and shipped far more heavily than credentials. We regularly hire people without advanced degrees and without prior autonomous-vehicle experience. What we look for is specific, verifiable engineering work systems you built, constraints you worked under, and failures you diagnosed and fixed\nCandidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.\nAvride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email .","description_format":"text","description_chars":4430,"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":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Robotic Software & Control Systems","Delivery","Autonomous Driving","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-08-30T14:04:31Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 32 · green card filings: 21","filings_12m":32,"filings_prev_12m":2,"green_card_filings_12m":21,"median_offered_wage_usd":136462,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":16}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.179,"p_room":0.28,"age_days":422,"expected_fill_days":30,"reasons":["conf:0","stale_co","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/avride-machine-learning-engineer-motion-planning-prediction","json_url":"https://alion.io/job/avride-machine-learning-engineer-motion-planning-prediction.json","meta":{"generated_at":"2026-10-17T14:21:59Z","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":19335,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":63122},"rest":"https://alion.io/mcp/rest/get_company?id=63122"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Favride-machine-learning-engineer-motion-planning-prediction"},{"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%2Favride-machine-learning-engineer-motion-planning-prediction"},{"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%2Favride-machine-learning-engineer-motion-planning-prediction"},{"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/avride-machine-learning-engineer-motion-planning-prediction\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Favride-machine-learning-engineer-motion-planning-prediction"}]}