Machine Learning Engineer

About this role

Lyft seeks a Machine Learning Engineer to join the Fulfillment team, designing and deploying ML systems that power real-time ride-matching and inventory decisions. You'll translate cutting-edge research into production solutions while collaborating across product, data science, and engineering to optimize the marketplace at billion-ride scale.

What you'll do

• Design, build, and deploy machine learning models for real-time ride fulfillment applications
• Develop feature pipelines, model training workflows, and serving infrastructure on Lyft's ML platform
• Evaluate model performance against business KPIs and run experiments to drive continuous improvement
• Collaborate with ML engineers, product managers, data scientists, and software engineers on cross-functional initiatives
• Write production-quality code and participate in code reviews to ensure standards and knowledge sharing
• Translate state-of-the-art ML research into scalable, production-ready systems

What they're looking for

• Machine learning modeling and deep learning frameworks (TensorFlow, PyTorch)
• Python or Golang programming
• Recommendation systems and real-time ML inference
• Statistical analysis and ML evaluation metrics
• Feature engineering and data pipeline design
• Production ML systems and model deployment
• Problem-solving with ambiguous requirements at scale
• Cross-functional collaboration and communication

Benefits

• Medical, dental, and vision insurance with additional programs
• Mental health benefits and family building support
• 401(k) plan with company match
• Discretionary paid time off plus 18 weeks paid parental leave
• Child care and pet benefits, subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership