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From the employer's careers site First seen 7 Nov 2026

Software Engineer, Backend

The employer hasn't listed a salary.

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Description

Lyft is seeking a backend Software Engineer to join its Machine Learning Platform (MLP) team. The successful candidate will own well-defined tasks, contribute to features, and work alongside highly motivated Machine Learning and Software Engineers. The MLP team supports real-time, online, and offline ML model execution, development, and iteration across Lyft.

Responsibilities:

  • Own well-defined tasks and contribute to features on the ML platform, seeking guidance from senior team members when needed
  • Develop reliable, performant, well-tested, readable, maintainable code that follows team coding standards and meets feature requirements
  • Participate actively in code reviews, both giving and receiving feedback
  • Monitor the stability and performance of code after deployment, and proactively fix bugs and debug issues within scope
  • Participate in operational responsibilities, including on-call rotations and postmortem action items
  • Contribute to technical debt reduction and technology modernization efforts
  • Write documentation for code and tasks, including runbooks where needed
  • Participate in postmortems and planning discussions, providing input and feedback
  • Collaborate with cross-functional partners, including Machine Learning Engineers and Data Scientists
  • Build understanding of the ML platform and its design tradeoffs
  • Utilize AI tooling to accelerate development workflows

Experience:

  • BSc/MSc in Computer Engineering, Computer Science, or a related field, or relevant work experience
  • 1+ years of backend engineering experience working with Python, Go, Java, etc.
  • Experience with Linux
  • Nice to Have: Exposure to machine learning systems or ML serving/training/deployment infrastructure; familiarity with cloud providers (e.g., AWS, Azure, Google Cloud)
  • Nice to Have: Experience with AI-assisted coding tools

Benefits:

  • 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
  • RRSP plan with company match
  • Flexible paid time off policy
  • Subsidized commuter benefits and Lyft ride credits

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Skills

Required

Nice to have

  • machine learning systems
  • ML serving/training/deployment infrastructure
  • cloud providers
  • AI-assisted coding tools

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/lyft/jobs/8927268002

Apply on Lyft