Machine Learning Engineer
Design, deploy, and improve real-time machine learning systems for Lyft’s ride fulfillment marketplace. The role requires 2+ years of ML modeling experience, strong programming skills, and expertise with deep learning and recommendation systems.
About the job
Responsibilities
- Design, build, and deploy machine learning models for real-time applications, translating state-of-the-art research into production-ready solutions.
- Design and implement feature pipelines, model training workflows, and serving infrastructure using the 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.
- Use data-driven insights to refine ML strategies and solutions.
- Write production-quality code and participate in code reviews.
Requirements
- Bachelor's or master's degree 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 hypothesis testing, regression analysis, and machine learning performance metrics.
- Experience translating state-of-the-art ML research into production systems.
- Proficiency in Python, Golang, or another programming language.
- Ability to solve ambiguous problems and deliver solutions at scale.
- Strong communication and interpersonal skills for cross-functional collaboration.
Compensation and Benefits
- Base pay range: $140,800–$176,000 for the New York City area, excluding potential equity, bonus, and benefits.
- Medical, dental, and vision insurance.
- Mental health benefits.
- Family building, child care, and pet benefits.
- 401(k) plan with company match.
- Paid holidays and paid time off.
- 18 weeks of paid parental leave.
- Subsidized commuter benefits.
- Monthly Lyft credits and Lyft Pink membership.
Skills
Machine Learning, Python, Go, TensorFlow, PyTorch, Recommendation Systems, Deep Learning, Feature Pipelines, Model Training, Model Serving, Hypothesis Testing, Regression Analysis, Machine Learning Metrics, Production Systems
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