Machine Learning Engineer - New Verticals Catalog - Remote

Overview

Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for a skilled machine learning engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.

In Short

• Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, category classification, and image classification.
• Partner with engineering, product, and business strategy leaders to help shape our ML-driven product roadmap and grow a multi-billion dollar retail delivery business.
• Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience.

Requirements

• 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact.
• Experience with machine learning methods in building product knowledge graphs.
• Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.
• M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.
• The desire for impact with a growth-minded and collaborative mindset.

Benefits

• Comprehensive benefits package including 401(k) plan with employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays.
• Medical, dental, and vision benefits for full-time employees.
• Disability and basic life insurance.
• Family-forming assistance and commuter benefit match.
• Mental health program.