Software Engineer II - Back-end/ML Infra
Uber San Francisco, CA Full-time 3/24/2026 $171k - $190k per year
Undergraduate with 2+ Years of Experience
Approval 99.3%•Total filings 920•New hires 237•
💎 Strong Sponsor
•FY 2025Job Description
This role involves developing and operating security services and frameworks to protect Uber's user-facing products and core platforms. The ideal candidate is a strong software engineer with a machine learning background, focused on applying ML/GenAI techniques to real-world security challenges.
Requirements
- BS/MS in Computer Science or a related field
- 3+ years of industry experience in a software development environment
- Proficiency in one or more of Java, Golang, SQL, Python
- Hands-on experience building and operating distributed systems
- Hands-on experience with machine learning (e.g., feature engineering, training/evaluation, or deploying models)
- Experience leading projects with global, cross-functional stakeholders
- Experience mentoring and guiding junior engineers
Responsibilities
- Build ML-powered security systems: Design, develop, and operate software and services that improve Uber's security posture, with a focus on detection, classification, and risk scoring.
- Develop backend infrastructure and ETL pipelines: Build reliable data ingestion, transformation, and feature pipelines to support security analytics and machine learning workflows.
- Productionize ML for security use cases: Help take models from experimentation to deployment-owning performance, scalability, monitoring, and model/data quality in production.
- Code review and testing: Maintain high engineering standards through design reviews, code reviews, testing, and operational excellence.
- Cross-functional collaboration: Partner with teams like network operations, incident response, and compliance to ensure cohesive, end-to-end security outcomes.
Benefits
- Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.
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