5 days ago
Toronto, CanadaMid Level
Responsibilities
- Analyze data and build proof-of-concepts comparing machine learning and non-machine-learning solutions.
- Develop statistical, machine learning, and optimization models for Lyft’s routing system.
- Write reliable, scalable, production-quality code serving millions of requests per day.
- Balance model accuracy, productization complexity, and runtime performance.
- Participate in code reviews, design reviews, production on-call support, and incident triage.
- Write tested, readable, maintainable software.
Requirements
- Bachelor’s, master’s, or doctoral degree in computer science or another quantitative field, or related work experience.
- At least 3 years of machine learning experience.
- Proficiency in at least one SQL language, including MySQL, PostgreSQL, SqlServer, or Oracle.
- Experience with big data processing, distributed data pipelines, Apache Airflow, or Spark/Flink is preferred.
- Ability to work with distributed teams across EST and PST time zones.
Benefits
- Extended health and dental coverage, life insurance, disability benefits, mental health benefits, family building benefits, child care benefits, and pet benefits.
- Access to a Lyft-funded Health Care Savings Account.
- RRSP plan with company match.
- Flexible paid time off for salaried employees or 15 days of paid time off for hourly employees, with additional accrual based on service.
- 18 weeks of paid parental leave top-up for biological, adoptive, and foster parents.
- Subsidized commuter benefits and Lyft ride credits.
- Hybrid Toronto work arrangement requiring at least 3 days per week in the office, with flexibility to work anywhere for up to 4 weeks per year.
Tech Stack
Apache AirflowApache FlinkApache KafkaApache SparkAWSC++GoKubernetesMicrosoft SQL ServerMySQLPostgreSQLPythonSQL
Categories
About Lyft
Lyft is a NASDAQ-listed transportation marketplace that connects riders with drivers and offers bike and scooter rentals in one app. Founded in 2012 and headquartered in San Francisco, it operates across the U.S. and parts of Canada. Its revenue comes from service fees on rides and rentals, enterprise programs, and consumer subscriptions such as Lyft Pink.