Instacart

Grocery Technology

SeniorMachineLearningEngineer,Search&Recommendations

CA$180–190k San Francisco, CA, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Machine Learning Engineer, Search & Recommendations at Instacart. Skills: Machine Learning, Deep Learning, Search, Recommendations. Develop search experience. Develop attribution beyond CTR”

Industry & Context.

Grocery Technology
Problems you'll solve

Analytical skills

What They're Looking For.

Must Have

5+ years Python, Data fluency (SQL/Pandas), Expertise in classic ML techniques, Expertise in deep learning frameworks

Nice to Have

Expertise in multi-task learning architectures, Expertise in calibration, Expertise in counterfactual evaluation, Expertise in uplift/causal modeling, Expertise in contextual bandits, Experience building low-latency ranking services, Experience with feature stores, Experience with caching, Experience with vector retrieval, Experience with lexical retrieval, Experience with re-ranking, Experience with A/B testing infrastructure, Expertise in constraint-aware inference, Hands-on experience with LLMs, Experience with adapter tuning

What You'll Do.

Develop search experience

Develop attribution beyond CTR

How You'll Work.

Team & Collaboration

Cross-functional teams

Communication Scope

Cross-functional communication

Full Job Description

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Search experience with online testing and attribution beyond CTR. Strong coding (Python) and data fluency (SQL/Pandas), with expertise in classic ML techniques (e.g., XGBoost) and deep learning frameworks (TensorFlow/PyTorch). Excellent analytical skills and strong cross-functional communication abilities. Preferred Qualifications Expertise in multi-task learning architectures (e.g., MMOE/PLE, shared encoders), calibration, counterfactual evaluation, uplift/causal modeling, and/or contextual bandits for exploration. Experience building low-latency ranking services, including feature stores, caching, vector + lexical retrieval, re-ranking, and A/B testing infrastructure, with expertise in constraint-aware inference. Hands-on experience with LLMs as feature/recall enhancers (e.g., embeddings, adapter tuning) while maintaining clarity on when the ranker s

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