ML Software Engineer, ETA

Machine Learning Software Engineer, ETA

Location: San Francisco, California
Work Arrangement: Hybrid — 3 days per week in office
Employment Type: Not specified
Salary: $140,800–$176,000 annually

Job Summary

Lyft is seeking a Machine Learning Engineer to join its ETA team, which builds and maintains the systems responsible for estimating and predicting arrival times for every ride request on the platform.

ETA predictions play a critical role in ride matching, pricing estimates, and overall user experience. The position focuses on developing accurate, reliable, low-latency machine learning solutions that can scale to millions of requests per day.

The engineer will perform data analysis, develop statistical and machine learning models, evaluate model performance, and write production-quality software. The role requires at least three years of machine learning experience and the ability to collaborate with software engineering, machine learning, and data science teams.

Full Job Description

About Lyft

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.

Position Overview

We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating and predicting ETAs for every ride request on our platform.

ETAs play a critical role in matching decisions, pricing estimates, and overall user experience. 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.

Responsibilities

• Perform data analysis and build proof-of-concept solutions to explore and compare machine learning and non-machine-learning solutions.

• Be able to make effective trade-offs between model accuracy, its productization complexity, and runtime performance.

• Develop statistical, machine learning, or optimization models.

• Write production-quality code that can scale well to serve millions of requests per day.

• Participate in code reviews, design reviews, production on-call support, and incident triaging processes.

• Write well-crafted, well-tested, readable, maintainable code.

Experience

• B.S., M.S., or Ph.D. in Computer Science or other quantitative fields, or related work experience.

• 3+ years of machine learning experience.

Nice to Have

• Experience with big data processing, distributed data pipelines, and tools such as Apache Airflow and Spark.

• Ability to work in distributed teams spread across time zones in North America and Europe.

Technology Stack

• Amazon Web Services (AWS)

• Kubernetes

• Go

• Apache Spark

• Python

• Apache Airflow

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 with company match 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 of paid time off.

• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.

• Subsidized commuter benefits.

• Monthly Lyft credits and complimentary Lyft Pink membership.

Equal Employment Opportunity

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging.

All qualified applicants will receive consideration for employment without regard 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.

Lyft also considers qualified applicants with criminal histories consistent with applicable federal, state, and local law.

Hybrid Work Arrangement

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.

This role will be on a hybrid schedule. Team members will be expected to work in the office three days per week on Mondays, Wednesdays, and Thursdays.

Lyft considers working in the office at least three 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 four weeks per year.

Work Arrangement Classification: Hybrid

Compensation

The expected base pay range for this position in the San Francisco area is $140,800–$176,000 annually, not inclusive of potential equity offering, bonus, or benefits.

Salary ranges are dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.