At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Machine Learning is at the heart of our products and decision-making. We’re looking for passionate, driven, engineers to build systems that empower ML models to make our products more predictive, personalized, and adaptive. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment.

As a machine learning software engineer, you will be developing production machine learning models that provide high quality support experiences for both riders and drivers. You will be working on a wide array of challenges ranging from large scale distributed model training, large language model development, automating machine learning model lifecycle, implementing model monitoring, enabling reinforcement learning and much more. You will work with modelers across the company and build infrastructure to incorporate the rapid developing needs in various domains. 

Responsibilities:

• Partner with Machine Learning Engineers, Data Scientists, Software Engineers and Product Managers to develop advanced systems for business and user impact
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
• Evaluate when to build and when to reuse existing components including open source solutions
• Continuously research and stay updated with the latest advancements in machine learning and natural language processing
• Participate in code reviews, provide constructive feedback, and uphold best practices in ML engineering
• Create and maintain comprehensive documentation for models, experiments, and processes
• Write production quality code that scales with use
• Help establish roadmap and architecture based on technology and our needs

Experience:

• B.S., M.S., or Ph.D. in Computer Science and experience in distributed systems and machine learning
• 3+ years of Machine Learning experience
• Passion for building scalable and extensible solutions for machine learning development and productionisation towards short term and long term business and user impact
• Proficiency in Python, Golang, or other programming language
• Excellent communication skills 
• Strong understanding of Machine Learning fundamentals, including supervised learning, large language models, forecasting, recommendation systems and reinforcement learning
• Bonus Qualifications: Experience with deep learning frameworks and LLM workflows + prompt engineering is a plus.

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 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
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $140,800 - $176,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.