or apply directly on Lyft's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Lyft's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- Yes 62% of Lyft's roles list one
- Ghost-job risk at Lyft
- high 80 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
- 2026-09-17
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
The Machine Learning Engineer at Lyft will design, develop, and deploy advanced machine learning systems within the Fulfillment team, which is responsible for optimizing rider requests and driver matches. This role involves translating research into production-ready solutions, building feature pipelines, evaluating model performance, and collaborating with cross-functional teams to align machine learning initiatives with business objectives.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
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
- BS/MS 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, including TensorFlow, PyTorch, or similar frameworks
- Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
- Experience with translating state-of-the-art ML research into production systems
- Proficiency in Python, Golang, or other programming language
What you get
- 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
- 12 observed holidays and discretionary paid time off
Worth weighing
- In-office work is required 3 days per week, which may not suit all candidates
- Salary range is provided but does not include potential equity or bonuses, which may be a significant part of total compensation
- The role involves a hybrid work model with flexibility to work from anywhere for up to 4 weeks per year, which may appeal to some candidates
Summarised from Lyft's posting. Read the full original.
Listed by Lyft on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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