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Lyft Australia Cover

ML Software Engineer, Routing

Lyft Australia
Toronto, Canada Full Time Negotiable 12 days ago

About the Job

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.

Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes.

We are hiring a Machine Learning Engineer to join our Routing team. Our team builds and maintains Lyft's system responsible for providing routes for every ride request on our platform. We process millions of route requests per day and low latency, high reliability and high accuracy are paramount for our success.

Key Responsibilities

Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions
Be able to make effective tradeoffs 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 process.
Write well-crafted, well-tested, readable, maintainable code
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/Flink
Proficiency in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
Ability to work in distributed teams spread across time zones. (EST and PST)

Qualifications

Education: Postgraduate

Apply now

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