Machine Learning Engineer

Lyft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$140,800–$176,000 / yr
Posted
24 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k
This role $158k
$126k most similar roles pay here $280k

This role pays less than 90% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $158k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Lyft

Lyft is a transportation network company offering ride-hailing services across the US and Canada.

Lyft currently has 15 open roles on FindRole.

Listed pay typically runs $140,800–$176,000 across 14 roles with salary data.

Most-posted roles

View all roles at Lyft

At a glance

TL;DR · Machine Learning Engineer

Role Posting Log in to save

Machine Learning Engineer The Machine Learning Engineer joins the Fulfillment team within the Marketplace group to design, develop, and deploy state-of-the-art machine learning systems. This role involves building production-ready models for real-time applications, creating feature pipelines, and developing model training workflows and serving infrastructure. The engineer will translate research into practical solutions while evaluating performance against business KPIs through experimentation. Key technical requirements include proficiency in Python or Golang, experience with deep learning frameworks like TensorFlow or PyTorch for recommendation systems, and a strong grasp of statistical concepts such as regression analysis and hypothesis testing. The work focuses on the core transportation problem of determining reliable inventory for rider sessions and matching requests with drivers. This role addresses the challenge of managing petabyte-scale data to provide high-quality fulfillment in a complex, fast-moving marketplace environment.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

Skills

Machine Learning Python Golang TensorFlow PyTorch Deep Learning Recommendation Systems Model Training Production Systems Regression Analysis Hypothesis Testing Data Science

What you'll do

  • Design, build, and deploy machine learning models for real-time applications.
  • Translate state-of-the-art research into production-ready machine learning solutions.
  • Build feature pipelines, model training workflows, and serving infrastructure using internal platforms.
  • Evaluate ML system performance against business KPIs through experimentation and continuous improvement.
  • Use data-driven insights to inform and refine machine learning strategies.
  • Write production-level code and participate in peer code reviews.
  • Develop systems to determine inventory availability and match rider requests with drivers.

What we're looking for

  • 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 using frameworks like TensorFlow or PyTorch.
  • Proficiency in Python, Golang, or other programming languages to write production-level code.
  • Ability to translate state-of-the-art machine learning research into production-ready systems.
  • Understanding of statistical concepts including hypothesis testing, regression analysis, and performance evaluation metrics.
  • Proven ability to solve ambiguous problems and deliver solutions at scale.
  • Strong communication and interpersonal skills for cross-functional collaboration.

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