Machine Learning Engineer

Lyft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$140,800–$176,000 / yr
Posted
69 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $226k
This role $158k
$124k $294k
below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $200,437–$251,925 — the blue band above. At the midpoint, this role pays about $158k versus about $226k 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 35 open roles on FindRole.

Listed pay typically runs $148,000–$185,000 across 31 roles with salary data.

Most-posted roles

View all roles at Lyft

At a glance

TL;DR · Machine Learning Engineer

The Machine Learning Engineer joins the Fulfillment group within the Marketplace team to design, develop, and deploy state-of-the-art machine learning systems. This role involves translating research into production-ready solutions, building feature pipelines, and implementing model training workflows and serving infrastructure. The engineer will evaluate system performance against business KPIs, run experiments, and write production-level code while collaborating with cross-functional partners. Key technical requirements include proficiency in Python or Golang, and experience with deep learning frameworks like TensorFlow or PyTorch for recommendation systems. The position requires a strong understanding of statistical concepts such as hypothesis testing and regression analysis. The work focuses on solving complex problems in ride-sharing, specifically determining reliable inventory for rider sessions and matching requests with drivers using petabyte-scale data.

What does a Machine Learning Engineer earn in New York?

Median $231150 from 50 postings across 20 companies.

See salary data

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.
  • Implement feature pipelines, model training workflows, and serving infrastructure.
  • Evaluate ML system performance against business KPIs and run experiments.
  • Drive continuous model improvement using data-driven insights.
  • Write production-level code and participate in peer code reviews.

What we're looking for

  • 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 using TensorFlow, PyTorch, or similar frameworks.
  • Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics.
  • Experience translating state-of-the-art ML research into production systems.
  • Proficiency in Python, Golang, or other programming languages.
  • Proven ability to tackle ambiguous problems and deliver solutions at scale.
  • Strong communication and interpersonal skills for effective cross-functional collaboration.

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