mid Machine Learning Engineer ic
$137,100 – $201,600
USD per year

About this role

DoorDash is hiring a mid-level Machine Learning Engineer based in San Francisco, CA | Sunnyvale, CA | Seattle, WA. The posting calls out experience with Python, Spark, TensorFlow, PyTorch. Compensation is listed at $137,100–$201,600 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
San Francisco, CA | Sunnyvale, CA | Seattle, WA
Department
341 Executive Engineering

More roles at DoorDash

Advanced Specialist, MXO Merchant Sentiment
Tempe, AZ · mid
Advanced Specialist, NV Merchant Sentiment
Tempe, AZ · mid
SQL Salesforce
Agency Sales Partner, Enterprise Ad Sales
Chicago, IL | New York City, NY · mid
Agent, Critical Incident Response Team - New York, NY
New York City, NY · mid
Jira Security Compliance
Agent, Critical Incident Response Team - San Francisco, CA
San Francisco, CA · mid
Jira Security Compliance
All DoorDash jobs →

Job description

from DoorDash careers

About the Team

Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced senior machine learning engineer to help us develop the cutting-edge Computer Vision models that power DoorDash's growing grocery and retail business.

About the Role

We’re looking for a passionate Applied Machine Learning expert to join our team. As a Computer Vision expert, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the computer vision system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph and inventory information more accurate and real time, as well as help Dasher efficiency. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.

You’re excited about this opportunity because you will…
  • Develop production machine learning solutions to solve consumer vision problems such as entity recognition, entity resolution, attribute extraction, object detection, segmentation, metric learning, and category classification, image classification.
  • Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning, accelerating the growth of a multi-billion-dollar retail delivery ecosystem.
  • This is an excerpt. Read the full job description on DoorDash careers →
All machine learning jobs machine learning in San Francisco, CA Jobs in San Francisco, CA machine learning salaries machine learning career path
All DoorDash Jobs Browse machine learning roles mid positions