Lyft
ML Software Engineer, ETA
San Francisco, CA
Sponsorship not specified$141k-$176kDetected 1 day ago
PythonCode ReviewAWSKubernetesMachine LearningSparkAirflowData AnalysisData EngineeringData Science
About the role
- At Lyft, our purpose is to serve and connect.
- We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
- ETAs play a critical role in matching decisions, pricing estimates and overall user experience.
Responsibilities
- Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions
- Participate in code reviews, design reviews, production on-call support and incident triaging process.
Requirements
- Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark
Nice to have
- Ability to work in distributed teams spread across time zones. (North America and Europe)
Compensation
- Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
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
- 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.
- Subsidized commuter benefits
- Your recruiter can share more information about the various in-office perks Lyft offers.
- The expected base pay range for this position in the San Francisco area is $140,800 - $176,000, not inclusive of potential equity offering, bonus or benefits.
Company info
- We are hiring a Machine Learning Engineer to join our ETA team.
- Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform.
- Low latency, high reliability and high accuracy are paramount for our success.
- If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.
- Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow.
- In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
Equal opportunity
- Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging.
This listing is sourced directly from Lyft's careers page and normalized into a canonical job model.