Senior Software Engineer, Data Collection

At Lyft, our mission is to improve people’s lives with the world’s best transportation.To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Our transportation network serves millions daily, relying on a map that reflects the constantly changing real world. Our systems leverage insights from driving locations, sensor data, and user feedback to provide the best possible service. This empowers us to optimize routes, recommend ideal transport modes, ensure safe drop-off locations, and much more.

To strengthen our efforts, we are hiring a Senior Software Engineer who will work end-to-end on creating new and improving existing capabilities to capture road imagery using our Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end.

You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map.

Responsibilities:

• Design, develop, deploy, monitor, operate and maintain scalable, robust, stable, reliable and performant systems to support map data pipelines that operate on large data sets.
• Rapidly prototype and iterate on proof-of-concepts (POCs) and experimental features, embracing a fast-paced development cycle that values learning through experimentation, quick feedback loops, and continuous improvement.
• Provide technical leadership and direction to the team by defining the team’s roadmap, architecture, processes, and best practices, with a focus on scalability and robustness in data pipeline design and implementation for large geospatial datasets.
• Analyze our internal systems and processes, locate areas for improvement/automation, and build tools and dashboards to provide visibility.
• Write clean, testable, and maintainable code while implementing best practices for code reviews, CI/CD pipelines, and system observability.
• Help establish technical roadmaps and architectures based on technology and our business needs.
• Drive high-impact projects and innovate new solutions to provide the best mapping experience possible.
• Ship ML models at scale and low cost by focussing on systems / performance engineering.
• Create resilient and scalable infrastructure that enables rapid iteration of new pipelines and machine learning models.

Experience:

• BS/MS or equivalent degree in Computer Science, Machine Learning, or a related field.
• 5+ years of proven work experience in software engineering.
• Extensive experience with Python (including its data related batteries like numpy or pandas) or Golang.
• Familiarity with cloud platforms such as AWS, GCP, or similar platforms, including experience with cloud infrastructure.
• Excellent communication and collaboration skills with experience working in cross-functional teams.
• Excellent analytical and problem-solving skills with a passion for tackling complex challenges.
• Proven track record of proactively driving initiatives, taking ownership of projects, and independently identifying and implementing improvements.

Advantageous would be:

• Experience with MLOps processes.
• Familiarity with geospatial data processing, GIS frameworks, or mapping infrastructure.

If you are a seasoned engineer with a passion for innovation, microservices, and possess the skills to ensure the ongoing maintenance and improvement of services, we invite you to join our dynamic team. Apply now to be part of an exciting journey in the world of mapping technology.

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 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. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $187,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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