Machine Learning Engineer, Lyft Business
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.
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: - Develop and deploy ML models across multiple problem domains — including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection — in production environments serving millions of rides - Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead - Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform - Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale - Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement - Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions 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.
Day-to-day expectations
Lyft lists these responsibilities for the Machine Learning Engineer, Lyft Business role.
- Develop and deploy ML models across multiple problem domains — including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection — in production environments serving millions of rides
- Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead
- Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
- Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale
- Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement
- Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions
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
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Source: app.careerpuck.com · Source ID: 8513769002 · Confidence: 91/100 · Last checked: May 7, 2026
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