{"id":2468220,"url":"https://alion.io/job/uber-staff-machine-learning-engineer-risk-and-trust","title":"Staff Machine Learning Engineer - Risk and Trust","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":94,"open_postings":132,"ghost_share":0,"stale_share":0.424,"repost_share":0.053,"time_to_fill_p50_days":7,"computed_at":"2026-10-14T06:34:16Z"}},"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"],"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":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-10-13T17:12:25Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T19:17:42Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nWe are looking for an experienced Staff Machine Learning Engineer to join Uber's Risk and Trust engineering organization. Our team plays a critical role in protecting users and maintaining the integrity of Uber's global platform through advanced fraud prevention, identity verification, and account security solutions.\nAs fraud threats continue to evolve, including increasingly sophisticated AI-driven attacks, we leverage cutting-edge machine learning techniques to build scalable, intelligent risk detection and prevention systems. In this role, you will lead the development of high-impact ML solutions, tackle complex technical challenges, and collaborate closely with cross-functional partners to deliver measurable business impact while maintaining seamless user experiences.\nWhat You'll Do\nCollaborate with product, data science, and engineering partners to proactively identify high-impact business opportunities, formulate complex ML problems, and help shape the team's technical roadmap.\nApply deep expertise in machine learning, optimization, and statistics to design and develop innovative, scalable, and robust ML solutions that drive measurable business impact.\nProvide technical leadership on complex ML initiatives, drive engineering best practices, and mentor other MLEs to elevate the team's technical capabilities.\nOwn the end-to-end ML development lifecycle, including data preparation, feature engineering, model development, system design, implementation, A/B testing, deployment, and production monitoring. Partner with cross-functional teams to productionize ML solutions at scale.\nBasic Qualifications\n8+ years of industry experience developing machine learning models, including classical ML and deep learning, and deploying ML solutions to production.\nMaster's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.\nStrong problem-solving skills and a solid foundation in machine learning algorithms, statistics, and optimization.\nDemonstrated experience applying ML techniques to solve complex, large-scale real-world problems.\nProficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.\nExperience building large-scale data pipelines and working with distributed data processing frameworks such as Spark and SQL-based systems.\nPreferred Qualifications\nPhD in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.\nHands-on experience with advanced ML techniques, such as deep learning, representation learning, sequence modeling, multi-task learning, reinforcement learning or large language models.\nExperience developing ML solutions for fraud detection, anomaly detection, or other adversarial environments.\nDemonstrated ability to independently drive complex ML projects from problem formulation through production deployment.\nExperience working with large-scale, real-time ML systems and making data-driven decisions in production environments.\n For San Francisco, CA-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":3503,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Delivery","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-10-13T19:10:57Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":7,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":258000,"is_top_pay":false},"html_url":"https://alion.io/job/uber-staff-machine-learning-engineer-risk-and-trust","json_url":"https://alion.io/job/uber-staff-machine-learning-engineer-risk-and-trust.json","meta":{"generated_at":"2026-10-14T20:39:54Z","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":27514,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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-risk-and-trust"},{"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-risk-and-trust"},{"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-risk-and-trust"},{"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-risk-and-trust\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fuber-staff-machine-learning-engineer-risk-and-trust"}]}