{"id":153431,"url":"https://alion.io/job/uber-staff-machine-learning-engineer","title":"Staff Machine Learning Engineer","company":{"id":230,"name":"Uber","domain":"uber.com","url":"https://alion.io/company/uber","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":151,"ghost_share":0.026,"stale_share":0.51,"repost_share":0.086,"time_to_fill_p50_days":10,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States","Chicago, United States","Seattle, United States","Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":209000,"max":232000,"currency":"USD","period":"year","gross":null,"usd_annual":232000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-07-31T00:00:00Z","employer_posted_date":"2026-07-31","last_verified_at":"2026-10-30T14:16:08Z","board_verified":true,"closed_at":null,"days_open":91,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":91},"description":"About the Role\nUber Freight Marketplace is building the next generation of logistics technology by leveraging Uber’s proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber’s mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.\nWe are looking for a highly motivated Machine Learning Engineer to join Uber’s Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.\nWhat You'll Do\nThis role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.\nBasic Qualifications\n6+ years of experience developing ML models to solve business problem.\nBachelor’s degree in Computer Science, Computer Engineering, or related fields.\nFamiliar with modern AI/ML frameworks (e.g., PyTorch).\nPreferred Qualifications\nProduct experience will be a big plus for this role. Adaptive development of ML models to the business context is critical. \nPrevious experience with state-of-the-art marketplace technology is preferred.\nExperience with causal inference and constrained optimization\n For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year.\nFor New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.\nFor San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.\nFor Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.\nFor Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.\nFor all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.","description_format":"text","description_chars":2718,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Transportation & Logistics","Delivery","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-07-31T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 837 · green card filings: 258","filings_12m":837,"filings_prev_12m":952,"green_card_filings_12m":258,"median_offered_wage_usd":186897,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":529}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.284,"p_room":0.28,"age_days":91,"expected_fill_days":10,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":232000,"is_top_pay":false},"html_url":"https://alion.io/job/uber-staff-machine-learning-engineer","json_url":"https://alion.io/job/uber-staff-machine-learning-engineer.json","meta":{"generated_at":"2026-10-30T15:23:25Z","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":3146,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":230},"rest":"https://alion.io/mcp/rest/get_company?id=230"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fuber-staff-machine-learning-engineer"},{"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%2Fuber-staff-machine-learning-engineer"},{"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%2Fuber-staff-machine-learning-engineer"},{"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/uber-staff-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fuber-staff-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":153431}},{"tool":"search_jobs","arguments":{"company":"uber.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":153431},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}