Machine Learning Engineer - New Verticals - Search & Recommendations

5+ years of industry experience

developing machine learning models with business impact, and shipping ML solutions to production.

Deep expertise in applied ML for

Search/NLP/IR/RecSys

-  both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques are a plus.

Strong machine learning background in Python; experience with PyTorch or TensorFlow preferred.

We’re looking for a passionate Applied Machine Learning expert to join our team. As a Machine Learning Scientist, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the search and personalization experiences at the heart of our fast growing grocery and retail delivery business.  In this role, you will leverage our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will be expected to demonstrate a strong command of production level machine learning,  a passion for solving end-user problems, leadership skills to collaborate well with multi-disciplinary teams, and execution focus to prioritize effectively in a dynamic environment.

Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space.

Partner with engineering and product leaders to help shape the product roadmap leveraging ML.

Mentor junior team members, and lead cross functional pods to generate collective impact.

You can find out more on our ML blog

here

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