Sr Machine Learning Engineer - Consumer Incentives
Job Description
Uber’s Consumer Incentives team builds AI-powered optimizations and distributed systems that shape consumer experiences across verticals including grocery and food. In this Sr Machine Learning Engineer role, you will work on end-to-end machine learning product lifecycle development, moving from early scoping and offline evaluation to production deployment and ongoing post-launch maintenance.
Role focus
- Architect and launch products that drive key consumer experience and business outcomes.
- Own the full project lifecycle, including scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
- Design, tune, and improve systems and algorithms to support large-scale operation.
- Collaborate with cross-functional partners across product management, operations, and data science.
What you bring
- Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics, or a related field, plus 4+ years of full-time engineering experience.
- Proficiency in at least one programming language such as Python, Go, or Java.
- Experience building and productionizing end-to-end machine learning systems.
- Strong communication skills and the ability to work effectively with cross-functional partners.
- A strong ownership mindset to drive projects end-to-end.
Technologies
- Python
- Go
- Java
Preferred qualifications
- A track record of designing and delivering large-scale consumer products.
- Demonstrated leadership skills, including experience mentoring and guiding junior engineers.
- Proven experience in experimental design and causal inference.
Compensation and location
This role is based in New York, NY (onsite). The base salary range is USD $202,000 - $224,000 per year.
Benefits
- Eligibility to participate in Uber’s bonus program (for all US locations).
- May be offered an equity award and other types of compensation (for all US locations).
- All full-time employees are eligible to participate in a 401(k) plan.
- Eligibility for various benefits.
Office expectations
- Unless approved for full remote work, employees must spend at least 50% of their time in-office.
- Some roles, such as those at greenlight hubs, require full-time in-office presence.
- Ask your Recruiter for details about this role’s requirements.