Machine Learning Engineer

Lyft is a transportation technology company that serves and connects people through its ride-sharing platform. The Machine Learning Engineer will design, develop, and deploy machine learning systems for the Fulfillment team, building real-time models, feature pipelines, training workflows, and serving infrastructure. The role also involves evaluating model performance, translating research into production, collaborating cross-functionally, and improving ML solutions at scale.

Responsibilities

Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions

Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform

Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement

Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals

Leverage data-driven insights to inform and refine ML strategies and solutions

Write production-level code and participate in code reviews to ensure quality and share knowledge across the team

Benefits

Great medical, dental, and vision insurance options with additional programs available when enrolled

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) plan with company match to help save for your future

In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off

18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Subsidized commuter benefits

Monthly Lyft credits and complimentary Lyft Pink membership

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays.

Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

Company

Ridesharing, bike, and scooter transportation app

San Francisco, California, USA

https://www.lyft.com/

Founded in 2012

5001-10000 employees

Qualifications

BS/MS in Computer Science, or a related field

2+ years of experience in machine learning modeling or related fields

Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks

Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning

Experience with translating state-of-the-art ML research into production systems

Proficiency in Python, Golang, or other programming language

Proven ability to tackle ambiguous problems and deliver solutions at scale

Strong communication and interpersonal skills for effective cross-functional collaboration

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays

Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role

Required skills

Machine Learning, Deep Learning, Recommendation Systems, TensorFlow, PyTorch, Statistical Analysis, Hypothesis Testing, Regression Analysis, Python, Golang, Production Machine Learning Systems

Experience

2+ years