Machine Learning Engineer

Lyft

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$140,800–$176,000 / yr
Posted
24 days ago
Freshness
Confirmed live 2 days ago

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

Machine Learning Engineer joins the Fulfillment team within the Marketplace group to design, develop, and deploy state-of-the-art machine learning systems for real-time applications. This role involves translating research into production-ready solutions, building feature pipelines, creating model training workflows, and developing serving infrastructure. The engineer will evaluate system performance against business KPIs, run experiments, and write production-level code while collaborating with cross-functional teams to align initiatives with goals. 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 hypothesis testing and regression analysis. The role addresses the complex problem of determining reliable inventory for rider sessions and matching requests with drivers within a high-volume ride-sharing environment using petabyte-scale data.

What does a Machine Learning Engineer earn in New York?

Median $216000 from 43 postings across 13 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.
  • Build feature pipelines, model training workflows, and serving infrastructure using internal platforms.
  • Evaluate ML system performance against business KPIs to drive continuous improvement.
  • Run experiments to refine machine learning strategies based on data-driven insights.
  • Write production-level code and participate in peer code reviews.
  • Develop solutions for determining inventory availability and matching 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 solutions.
  • Understanding of statistical concepts including hypothesis testing, regression analysis, and performance evaluation metrics.
  • Proven ability to solve ambiguous problems and deliver scalable solutions.
  • Strong communication skills for effective cross-functional collaboration with product managers and engineers.

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