Senior Machine Learning Engineer, Recommendations

Lyft; Toronto; Hybrid; CAD 149,000 - 187,000; Full time

Job summary

A leading company in transportation is seeking a passionate Machine Learning Engineer to join their dynamic Machine Learning team. You will develop algorithms that enhance Lyft’s services, tackle diverse challenges, and collaborate with talented teams. Ideal candidates have a robust background in machine learning and software development. This hybrid position allows flexibility while contributing to impactful projects.

Benefits

Extended health and dental coverage

Mental health benefits

Family building benefits

Child care and pet benefits

Access to Health Care Savings Account

RRSP plan

Flexible paid time off policy

18 weeks paid time off for new parents

Subsidized commuter benefits

Qualifications

• 5+ years of Machine Learning experience.
• Proficiency in Python or Golang.
• Strong understanding of Machine Learning methodologies.

Responsibilities

• Develop and launch algorithms powering Lyft’s core services.
• Partner with cross-functional teams to create ML solutions.
• Write production-quality code for machine learning models.

Skills

Machine Learning

Data Analysis

Statistical Modeling

Optimization

Python

Golang

Communication

Supervised Learning

Reinforcement Learning

Recommendation Systems

Multi-Armed Bandits

Education

B.S., M.S., or Ph.D. in Computer Science or related fields

Job description

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data and Machine Learning are at the heart of Lyft’s products and decision-making. As a member of the Machine Learning team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Machine learning engineers build systems that make our products predictive, personalized, and adaptive. We’re looking for passionate, driven engineers to take on some of the most interesting and impactful problems in ride sharing.

As a machine learning engineer, you will be developing and launching the algorithms that power the platform’s core services. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, mapping, personalization, and adaptive control. We are hiring motivated experts in each of these fields. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment.

Responsibilities:

• Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact
• Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems
• Develop statistical, machine learning, or optimization models
• Write production quality code to launch machine learning models at scale
• Evaluate machine learning systems against business goal

Experience:

• B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
• 5+ years of Machine Learning experience
• Passion for building impactful machine learning models leveraging expertise in one or multiple fields.
• Proficiency in Python, Golang, or other programming language
• Excellent communication skills and fluency in English
• Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits

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 $149,600 - 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.