Data Science Manager, Machine Learning - Lyft Ads

Lyft

Hybrid Actively hiring Verified listing
San Francisco, CA Posted 50 days ago $176,000–$220,000 / year
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At a glance

AI generated

TL;DR

As an Algorithms Science Manager at Lyft Ads, you will lead a team of Data Scientists, Applied Scientists, and Machine Learning Engineers to build the algorithmic backbone for the company's advertising platform. Your day-to-day responsibilities include defining technical roadmaps, developing algorithms that enhance ad relevance and yield optimization, and collaborating with cross-functional teams to integrate these solutions into production systems. You will also establish robust experimentation frameworks to measure impact on advertiser outcomes and rider experience. Ideal candidates have a PhD or Master’s in a quantitative field, 8+ years of machine learning experience, and 3+ years of people management expertise. Proficiency in tools like PyTorch, TensorFlow, and scikit-learn is essential, along with deep knowledge in causal inference and experimental design. This high-impact role focuses on driving measurable value for advertising partners while contributing to Lyft's revenue growth through innovative ML solutions.

Skills

Python PyTorch TensorFlow scikit-learn Kubernetes AWS CI/CD Docker PostgreSQL Spark MLOps Prometheus Grafana GitLab Jupyter SQL Linux Numpy Pandas

What you'll do

  • Lead a multi-disciplinary team to develop and deploy algorithms for ad targeting and yield optimization.
  • Define and execute technical vision and roadmap aligned with business strategy and revenue goals.
  • Partner with Product, Engineering, and Design teams to integrate ML solutions into production systems.
  • Establish frameworks for measuring the impact of algorithmic changes on advertiser outcomes and platform revenue.
  • Conduct deep analyses of large datasets to identify opportunities for revenue growth and user experience enhancement.
  • Bridge research and production by ensuring applied science innovations are translated into reliable ML systems at scale.

What we're looking for

  • Deep expertise in machine learning, optimization, and causal inference.
  • 8+ years of experience building and deploying algorithms in production systems.
  • Proven leadership in managing multi-disciplinary technical teams (3+ years).
  • Ability to set strategic vision and drive measurable business outcomes.
  • Strong understanding of ML engineering best practices for scalable solutions.
  • Experience in advertising technology, media measurement, or marketplace optimization.
  • Hands-on proficiency with large-scale data processing tools and frameworks.

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $198k
$118k most similar roles pay here $236k

This role pays more than 66% of similar roles. Most pay $135,000–$211,400 — the shaded band above. At the midpoint, this role pays about $198k versus about $173k 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 31 open roles on FindRole.

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

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