{"id":2571424,"url":"https://alion.io/job/uber-staff-machine-learning-engineer-pricing","title":"Staff Machine Learning Engineer - Pricing","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":93,"open_postings":123,"ghost_share":0,"stale_share":0.455,"repost_share":0.057,"time_to_fill_p50_days":8,"computed_at":"2026-10-15T05:46:00Z"}},"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":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":232000,"max":258000,"currency":"USD","period":"year","gross":null,"usd_annual":258000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Flink","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-12T20:41:39Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-15T11:13:19Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the Role\nUber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.\nWe are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.\nWhat You Will Do\nDrive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence\nLead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips\nDevelop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers\nWork with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems\nBasic Qualifications\nPh.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact\n6+ years experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters\nProficiency in programming languages such as Python, Scala, Java, or Go\nProficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures\nProficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps\nExperience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior\nDeep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization)\nPreferred Qualifications\nExperience developing multi-year technical strategies and cross-team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others\nTrack record of translating complex business problems into technical solutions and driving multi-functional projects across multiple teams\nExcellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross-functional teams\nProficiency in reinforcement learning and causal machine learning\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":4485,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":6,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Delivery","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-10-14T23:01:50Z"}],"visa":[],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.871,"p_room":1,"age_days":2,"expected_fill_days":8,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":258000,"is_top_pay":false},"html_url":"https://alion.io/job/uber-staff-machine-learning-engineer-pricing","json_url":"https://alion.io/job/uber-staff-machine-learning-engineer-pricing.json","meta":{"generated_at":"2026-10-15T13:31:02Z","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":20841,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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-pricing"},{"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-pricing"},{"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-pricing"},{"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-pricing\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fuber-staff-machine-learning-engineer-pricing"}]}