AWS, Azure, Data science techniques, Deep Learning, Effective communication skills, GoLang, Google Cloud Platform (GCP), Kubernetes-K8s, Machine learning techniques, Python Programming, PyTorch, SPARK Programming, SQL, TensorFlow
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Data and Machine Learning are at the heart of Lyft’s products and decision-making. As a member of the Machine Learning Platform team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation network. Machine learning infra engineers build systems that empower machine learning models to make our products predictive, personalized, and adaptive. We’re looking for passionate, driven engineers to take on some of the most interesting and impactful problems in ridesharing.
As a machine learning platform engineer, you will be developing our central machine learning platform that powers Lyft machine learning and optimization models. You will be working on a wide array of challenges ranging from building the large language model framework, large scale distributed model training, sub millisecond real-time predictions at scale, automating machine learning model lifecycle, implementing model monitoring, enabling reinforcement learning and many more. You will be working in a fast paced environment, tackling a diverse set of problems. They collaborate across transportation, economics, forecasting, mapping, personalization, and adaptive control. We are hiring engineers who can work with modelers across the company and build infrastructure to incorporate the rapid developing needs in each of these fields. 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.
Responsibilities
Qualifications
Bonus Qualifications:
Benefits:
Lyft is an equal opportunity/affirmative action 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.
Starting in September 2023, 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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
The expected range of pay for this position in the San Francisco Bay Area is $178,020 - $197,800. 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.
Lyft, Inc. is an American company offering mobility as a service, ride-hailing, vehicles for hire, motorized scooters, a bicycle-sharing system, rental cars, and food delivery in the United States and select cities in Canada. Lyft sets fares, which vary using a dynamic pricing model based on local supply and demand at the time of the booking and are quoted to the customer in advance, and receives a commission from each booking. Lyft is the second