# Machine Learning Engineer

**Company:** [Lyft](https://hotfix.jobs/companies/lyft)
**Location:** San Francisco, CA, New York, NY
**Role:** ML Engineering
**Salary:** $141k – $176k/yr
**Experience:** 2+ years
**Skills:** Machine Learning, Deep Learning, Recommendation Systems, TensorFlow, PyTorch, Python, Go, Feature Pipelines, Model Training, Model Serving, Hypothesis Testing, Regression Analysis, Machine Learning Metrics, Production Systems, A/B Testing
**Posted:** 2026-09-04

> Design, deploy, and improve real-time machine learning systems for Lyft’s ride fulfillment and marketplace products. The role requires 2+ years of ML experience, production programming skills, and expertise with deep learning and recommendation systems.

## Job Description

## 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 an 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 inform and refine ML strategies and solutions.
- Write production-level code and participate in code reviews.

## Requirements
- BS or 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 hypothesis testing, regression analysis, and machine learning performance evaluation metrics.
- Experience translating state-of-the-art ML research into production systems.
- Proficiency in Python, Golang, or another programming language.
- Ability to tackle ambiguous problems and deliver solutions at scale.
- Strong communication and interpersonal skills for cross-functional collaboration.

## Benefits
- Medical, dental, and vision insurance options.
- Mental health, 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 complimentary Lyft Pink membership.
- Hybrid work schedule with at least three days per week in the office and flexibility to work from anywhere for up to four weeks per year.
- Expected base pay for the San Francisco area: $140,800–$176,000, excluding potential equity, bonus, and benefits.

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