Gopuff

Gopuff

Gopuff is an instant commerce platform that delivers groceries, alcohol, home essentials, and more to consumers in minutes. With a wide range of products including cleaning supplies, medicine, pet care, beauty items, and local brands, Gopuff offers a u...

Food Products
5001+
Founded 2013
$2400M raised

Description

  • Define end-to-end modeling strategy for recommendations, ranking, and personalization across home feed, search, product pages, cart, and CRM.
  • Design and build candidate-generation, retrieval, and learning-to-rank systems that balance relevance, basket size, margin, and real-time inventory.
  • Lead development of LLM-powered consumer agents for planning, discovery, and reordering, including tool use, retrieval, evaluation, and guardrails.
  • Select and combine classic ML approaches and LLMs in production systems.
  • Design A/B tests and offline evaluation frameworks, define metrics, and connect model performance to customer and business outcomes.
  • Partner with Product and Engineering on feature pipelines, model serving, latency budgets, and model monitoring.
  • Set technical direction, lead design reviews, and raise standards for modeling, code quality, and measurement.
  • Mentor senior and staff data scientists and influence cross-functional roadmaps and executive decisions.

Requirements

  • 10+ years of data science or machine learning experience, or 8+ years with a PhD in a quantitative field.
  • Track record of shipping recommendation, ranking, or personalization systems that measurably improved consumer metrics at scale.
  • Deep knowledge of gradient boosting, collaborative filtering, matrix factorization, learning-to-rank, embeddings, and causal and experimental methods.
  • Hands-on experience building agentic AI systems with LLMs, including prompt and tool design, RAG, multi-step agents, and safety evaluation.
  • Expert Python skills and experience with pandas, scikit-learn, XGBoost or LightGBM, and PyTorch or TensorFlow.
  • Strong SQL, large-scale data warehouse experience, and hands-on Snowflake experience.
  • Experience with A/B testing, offline-to-online metric alignment, and statistical inference.
  • Experience leading technical direction without direct authority and mentoring senior data scientists.
  • Clear communication skills for technical, non-technical, and executive audiences.
  • Experience with Databricks, Spark, MLflow, feature stores, e-commerce or marketplace systems, real-time recommendations, contextual bandits, reinforcement learning, dbt, Airflow, or LLM evaluation tooling is preferred.

Benefits

  • Remote base salary range of $180,000-$240,000.
  • Discretionary annual cash bonus and equity incentive plan participation.
  • Medical, dental, and vision insurance.
  • 401(k) retirement savings plan and HSA or FSA eligibility.
  • Flexible PTO.
  • Long- and short-term disability insurance and group life insurance.
  • Fitness reimbursement program, 25% employee discount, and FAM membership.
  • Employee assistance program through AllOne Health.

Interested in this position?

Apply directly on the company website

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