Lyft is looking to revolutionize transportation and improve lives by leveraging cutting-edge machine learning technologies to solve hard problems in a rapidly growing domain with a lot of data. They need to build a next-generation platform for low-cost, ultra-immersive transportation.
Requirements
- Deep understanding of supervised/unsupervised learning, reinforcement learning, and advanced optimization techniques.
- Deep knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, etc.
- Experience with distributed computing frameworks like Spark, Hadoop.
- Strong knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
- Proven ability to quickly and effectively turn research ML papers into working code.
- Practical knowledge of how to build efficient end-to-end ML workflows.
- Proven ability to tackle ambiguous problems and deliver solutions at scale.
Responsibilities
- Design, build, train, and deploy machine learning models for real-time applications.
- Architect scalable, reliable, and maintainable machine learning pipelines, integrating seamlessly with existing backend systems.
- Work closely with machine learning engineers, product managers, data scientists, and software engineers to align machine learning initiatives with business goals.
- Stay ahead of the curve by exploring new algorithms, technologies, and frameworks to solve complex problems and introduce use cases for the team.
- Utilize data-driven insights to inform and refine machine learning strategies and solutions.
- Provide technical leadership, mentor engineers, and foster a culture of learning and collaboration.
- Write production-level code to convert your ML models into working pipelines and participate in code reviews to ensure code quality and distribute knowledge.
Other
- B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience.
- 8+ years (or Ph.D. with 6+ years) of experience in machine learning, data science, or related fields, with at least 3 years in a senior or staff engineering role.
- Strong communication and interpersonal skills for effective cross-functional collaboration.
- "Engineer at heart" with a high degree of comfort in designing software systems and producing high-quality code.
- 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 workplace that fosters belonging. 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, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
- Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. 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. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. Hybrid
