About this opportunity
Uber lists this Software Engineer II - Machine Learning Engineer opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Uber’s Consumer Incentives team builds AI/ML-powered intelligence and scalable distributed systems that help shape customer experiences across grocery and food. As a Software Engineer II - Machine Learning Engineer, you’ll work end-to-end, from scoping and offline evaluation through experimentation, production deployment, and post-launch maintenance.
This role is based in Seattle, WA (onsite) , with a base salary range of USD 171,000 - 190,000 per year . You’ll collaborate closely with cross-functional stakeholders to deliver product outcomes at scale for hundreds of millions of global users .
What you’ll do
Launch products that support key consumer experience and business outcomes.
Drive projects through the full lifecycle, including scoping , offline evaluation , experimental testing , production deployment , and post-launch maintenance .
Design, tune, and improve systems and algorithms capable of operating at scale.
Partner with teams across product management , operations , and data science to align work with business goals.
What you bring
3+ years of experience in an AI/ML/optimization role, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.).
Proficiency in at least one programming language such as Python , Go , or Java .
Strong communication skills and the ability to work effectively with cross-functional partners.
A strong sense of ownership to carry projects end-to-end.
Technologies
Python
Go
Java
About the team
The Consumer Incentives team supports Uber’s growth and long-term profitability by creating seamless, affordable, and enjoyable customer experiences. This is done by building AI/ML-powered intelligence and sophisticated distributed systems at scale across key business areas such as grocery and food.
Preferred qualifications
Experience designing and delivering large-scale consumer products .
Experience developing, evaluating, and deploying ML models and algorithms in production.
Experience in experimental design and causal inference .
Compensation and benefits
Eligible to participate in Uber’s bonus program .
May be offered an equity award and other types of comp.
Eligible to participate in a 401(k) plan.
Eligible for various benefits.
Office requirements
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.
#J-18808-Ljbffr
Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.