Staff Machine Learning Engineer - Growth

DoorDash; Canada; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading on-demand logistics company in Canada is seeking an experienced Machine Learning Engineer to develop innovative AI solutions for pricing and restaurant selections. The ideal candidate should have over 6 years of experience in machine learning, strong technical skills in Python and Spark, along with a relevant advanced degree. This role offers a unique opportunity to impact consumer pricing strategies and work within a dynamic team environment.

Benefits

Premium healthcare

Wellness expense reimbursement

Paid parental leave

Qualifications

• 6+ years of experience in machine learning initiatives with measurable impact.
• Exceptional written and verbal communication skills.

Responsibilities

• Develop ML-driven systems for pricing and restaurant selections.
• Create AI solutions for optimizing deals and promotions.
• Partner with engineering teams to shape product roadmaps.
• Own the complete modeling lifecycle from creation to maintenance.

Skills

Machine learning expertise

Python

Spark

PyTorch

Statistics

Causal inference

Multi-objective optimization

Deep learning

Education

M.S. or Ph.D. in a quantitative field

Job description

About the Team

Come help us build the world's most reliable on-demand logistics engine for last-mile delivery! We're seeking an experienced machine learning engineer to develop cutting-edge ML models that power DoorDash's pricing, selection, affordability, and growth strategies.

About the Role

We're looking for a passionate Machine Learning expert to join our team. You'll leverage our robust data and machine learning infrastructure to build sophisticated ML systems that implement innovative AI solutions for consumer pricing, restaurant selection expansion, promotions (deals) optimization, and marketplace growth. You'll need to demonstrate strong production-level machine learning expertise while collaborating with multi-disciplinary teams to set strategy and drive business growth.

You're excited about this opportunity because you will:

• Develop ML-driven systems that ensure DoorDash pricing remains affordable and fair across all restaurant selections and occasions
• Create AI solutions that optimize deals and promotions for relevancy and efficiency, intelligently adapting to evolving consumer ordering behaviors
• Partner with engineering and product leaders to shape product roadmaps through AI/ML innovations
• Own the complete modeling lifecycle from feature creation through deployment, experimentation, monitoring, explainability, and maintenance

We're excited about you because you have:

• 6+ years of industry experience developing and leading advanced machine learning initiatives with measurable business impact and production-deployed solutions
• M.S. or Ph.D. in Statistics, Computer Science, Mathematics, Operations Research, Physics, Economics, or another quantitative field
• Exceptional written and verbal communication skills
• Strong technical expertise in Python, Spark, and PyTorch for machine learning applications
• Experience with statistics, causal inference, multi-objective optimization, or deep learning (preferred)

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

If you need any accommodations, please inform your recruiting contact upon initial connection.

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

If you need any accommodations, please inform your recruiting contact upon initial connection.

We use Covey as part of our hiring and/or promotional process for jobs in certain locations.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144

To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.