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Jobs/San Francisco/Senior Machine Learning Engineer, Recommendations
San Francisco, CA

Senior Machine Learning Engineer, Recommendations

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Company
Lyft
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: - Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact - Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems - Develop statistical, machine learning, or optimization models - Write production quality code to launch machine learning models at scale - Evaluate machine learning systems against business goal Benefits: - Great medical, dental, and vision insurance options with additional programs available when enrolled - Mental health benefits - Family building benefits - Child care and pet benefits - 401(k) plan with company match to help save for your future - In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off Company context: Lyft operates a large-scale mobility platform with engineering, data, security, and product hiring across major North America metros.

Responsibilities

Day-to-day expectations

Lyft lists these responsibilities for the Senior Machine Learning Engineer, Recommendations role.

  • Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact
  • Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems
  • Develop statistical, machine learning, or optimization models
  • Write production quality code to launch machine learning models at scale
  • Evaluate machine learning systems against business goal
Benefits

Why people would want this job

Lyft published these compensation, benefits, or working-context details with the role.

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
UpJobz market context

Why this listing is more than a copied job post.

Senior Machine Learning Engineer, Recommendations is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.

Compensation read

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.

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Subscriber playbook

Turn this listing into an application plan.

This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.

Next moves

  • Tailor your resume around llm and machine-learning instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to senior machine learning engineer, recommendations is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Artificial IntelligenceOn-sitellmmachine-learningpythongo

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use united states residents as part of your positioning so the recruiter does not have to infer it.
  • Show concrete examples of succeeding in on-site environments.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

llmmachine-learningpythongodataproductplatformapibackendmobile
Next step

Apply through the employer source

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Source: app.careerpuck.com Β· Source ID: 8430552002 Β· Confidence: 91/100 Β· Last checked: May 7, 2026

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