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
As a Machine Learning Engineer at Lyft, you will design, develop, and deploy advanced machine learning systems to enhance ride-sharing services. Your role will involve creating real-time applications, implementing feature pipelines, and collaborating with cross-functional teams to align machine learning initiatives with business objectives. You will also evaluate model performance and drive continuous improvements based on data-driven insights.
- 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
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
Worth weighing
- Role requires in-office work 3 days a week, which may not suit all candidates
- Salary range provided but no specific equity or bonus details mentioned
- Hybrid work flexibility allows for remote work up to 4 weeks per year, but in-office presence is emphasized
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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