Real-Time ML Engineer - Hybrid (3 days in-office)

Lyft; San Francisco (CA); Hybrid; USD 141,000 - 176,000; Full time

Benefits offered by this job

Excellent health insurance

401(k) with match

Generous PTO

Parental leave

Commuter benefits

Lyft credits

Job summary

Lyft is seeking a Machine Learning Engineer to design, deploy, and optimize real-time ML models within the Marketplace Fulfillment group. You will translate cutting-edge research into scalable production solutions and collaborate with ML engineers, product managers, and data scientists to align initiatives with business goals.

The role requires strong Python and Go skills, experience in deep learning for recommendations, and a track record of delivering robust ML systems at scale.

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.

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.

Skills

Python

Go/Golang

TensorFlow/PyTorch

Machine Learning

Communication

Education

BS/MS in Computer Science

Tools

TensorFlow

PyTorch

Job description

Lyft is seeking a Machine Learning Engineer to design, deploy, and optimize real-time ML models within the Marketplace Fulfillment group. You will translate cutting-edge research into scalable production solutions and collaborate with ML engineers, product managers, and data scientists to align initiatives with business goals.

The role requires strong Python and Go skills, experience in deep learning for recommendations, and a track record of delivering robust ML systems at scale.