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SeniorFull-timePythonJavaAWSAzureMachine LearningGoAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join our Artificial Intelligence, Machine Learning, and Operations Research Platforms team at Lyft. This role focuses on building AI Platform components that enable critical AI applications across the company.
Key Responsibilities
- →Contribute to the roadmap and architecture based on technology and business needs
- →Write well-crafted, well-tested, readable, maintainable code
- →Have a good grasp and ability to explain the various tradeoffs made in decisions
- →Participate in code reviews to ensure code quality and distribute knowledge
- →Build features from tech specification to positive execution
- →Incorporate considerations for business context and failure modes in your work
- →Proactively participate in resolving ongoing incidents
- →Unblock, support, effectively communicate, and obtain buy-in within your team to achieve results
- →Share your knowledge by giving brown bags and tech talks
Requirements
- ✓BSc/MSc in Computer Engineering, Computer Science, Machine Learning related field or relevant work experience
- ✓5+ years of ML engineering experience working in any of these stacks: Python, GO, Java, etc.
- ✓Experience with ML serving/training/deployment infrastructure; familiarity with cloud providers (e.g. AWS, Azure, Google Cloud); familiarity with GenAI ecosystem: LLMs, prompt engineering, MCP, RAG; hands-on experience with LLM fine-tuning techniques and frameworks (e.g. PEFT, LoRA); knowledge on deploying self-hosted LLMs (e.g. Llama, Mistral) for specialized tasks
- ✓Experience with GenAI/LLM infrastructure, agent frameworks (e.g. LangChain, LangGraph); MLOps tooling (MLflow, Airflow)
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
- ★18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- ★Subsidized commuter benefits
- ★Monthly Lyft credits and complimentary Lyft Pink membership
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