# ML Software Engineer, Routing

**Company**: Lyft
**Location**: Toronto, ON
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/lyft/jobs/8888403002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8e760a26-cdc

## Description

At Lyft, our purpose is to serve and connect.

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.

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, Python/C++, Apache Airflow, Flink, and Kafka. 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 to explore and compare ML and non-ML solutions

- 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

## 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/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)

## Benefits:

- Extended health and dental coverage options, along with life insurance and disability benefits

- Mental health benefits

- Family building benefits

- Child care and pet benefits

- Access to a Lyft funded Health Care Savings Account

- RRSP plan with company match to help save for your future

- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy.

- Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.

- Subsidized commuter benefits and Lyft ride credits

## Skills

### Required
- Machine Learning
- Python
- C++
- Go
- AWS
- Kubernetes
- Apache Airflow
- Flink
- Kafka
- SQL

### Nice to have
- big data processing
- distributed data pipelines
- Spark

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/lyft/jobs/8888403002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)