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Lyft

Machine Learning Engineer, Safety and Customer Care AI

Lyft · Toronto, Canada

Posted about 3 months ago

or apply directly on Lyft's site. We never take the application ourselves.

Is this posting real?

This role has been open
77 days
Lyft's roles stay open a median of 79 days
Reposted
No
Salary listed
No
62% of Lyft's roles list one
Ghost-job risk at Lyft
high
168 stale, 4 reposted of 171 open
Hiring momentum
267 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Lyft's own greenhouse board since 2026-08-03. Full hiring picture for Lyft.

About this role

As a Machine Learning Engineer on the Safety and Customer Care team at Lyft, you will focus on fine-tuning and aligning open-source models to build AI agents that assist riders and drivers. Your role involves developing and evaluating AI-powered support agents, managing the entire agent development lifecycle, and ensuring the safe deployment of these models in a high-stakes environment. You will also work on creating evaluation frameworks and turning interaction feedback into training data to continuously improve the models.

Our read on this posting3.0out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lyft as an employer.

What you need

  • 3+ years of industry experience in applied ML/AI
  • MS or PhD in Computer Science, Machine Learning, Artificial Intelligence or a related technical field
  • Post-training experience with open-source models
  • Hands-on familiarity with fine-tuning and preference-tuning paradigms such as SFT, LoRA, RLHF, RLAIF, and RLVR
  • Agentic development experience
  • Built and shipped agents with LangGraph or equivalent frameworks

Nice to have

  • Experience applying ML/AI to customer support or trust & safety workflows
  • PhD in Computer Science, Machine Learning, Statistics, or a related technical field
  • Publications at top-tier peer-reviewed research venues

What you get

  • Extended health and dental coverage options
  • Life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • Access to a Lyft funded Health Care Savings Account

Worth weighing

  • Hybrid role requiring in-office work at least 3 days per week
  • No specific mention of equity offerings or bonuses beyond base salary
  • Salary range provided but may vary based on qualifications and experience

Summarised from Lyft's posting. Read the full original.

Listed by Lyft on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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