Principal Data Scientist – Consumer Personalization, Generative AI

Job not on LinkedIn

October 14

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🐊 Florida – Remote

Although this job is listed in Florida, this company may be open to hiring remote in other states.

+4 more states

🏄 California – Remote 🐊 Florida – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ☕ Washington – Remote

💵 $175k - $275k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Gopuff

WebsiteLinkedInAll Job Openings

Groceries, Alcohol, Home Essentials & more.

5001 - 10000 employees

Founded 2013

💰 Funding Round on 2022-05

📋 Description

• Understand customer needs through AI: Build models that interpret intent and context to provide the right product, recommendation or experience at the right moment. • Fine-tune and adapt LLMs: Apply LoRA/qLoRA and RAG techniques to customize state-of-the-art LLMs for Gopuff’s domain, using frameworks such as Hugging Face, LangChain and LlamaIndex. • Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization. • Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery. • Develop conversational and Q&A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language. • Deploy at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times. • Evaluate and optimize: Define metrics, design A/B tests and perform offline/online evaluations to measure model performance, customer satisfaction and business impact. • Collaborate and educate: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts clearly. • Mentor and lead: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-focused AI. • Stay ahead of the curve: Continuously track emerging LLM architectures, tools and techniques, and integrate them into Gopuff’s AI roadmap.

🎯 Requirements

• MS/PhD in Computer Science, Statistics, Mathematics or a related field with 2+ years of experience building generative-AI systems (or 8+ years of industry experience in data science). • Demonstrated experience fine-tuning LLMs using LoRA/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures. • Proficiency in prompt engineering, RLHF and model optimization. • Hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex and vector databases (e.g., Pinecone, FAISS). • Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Databricks, etc.). • Experience working with large datasets and SQL; ability to write scalable, production-quality code. • Excellent communication and collaboration skills to partner across technical and business teams. • A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology.

🏖️ Benefits

• Medical/Dental/Vision Insurance • 401(k) Retirement Savings Plan • HSA or FSA eligibility • Long and Short-Term Disability Insurance • Mental Health Benefits • Fitness Reimbursement Program • 25% employee discount & FAM Membership • Flexible PTO • Group Life Insurance • EAP through AllOne Health (formerly Carebridge)