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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)
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With
Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC
and certain features may qualify it as an AEDT in NYC. As part of the hiring
and/or promotion process, we provide Covey with job requirements and candidate
submitted applications. We began using Covey Scout for Inbound
[https://getcovey.com/product/covey-scout-inbound] from August 21, 2023, through
December 21, 2023, and resumed using Covey Scout for Inbound
[https://getcovey.com/product/covey-scout-inbound] again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit
may be viewed here: Covey [https://getcovey.com/nyc-local-law-144]
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.
