Principal Data Scientist - Consumer Personalization & Generative AI at Gopuff

Philadelphia, Pennsylvania, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, RetailIndustries

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

LLMsLoRAqLoRARAGHugging FaceLangChainLlamaIndexvector databasesdeep learningreinforcement learningmulti-task learningembeddingsMLOpsA/B testing

Questions & Answers

Common questions about this position

What education and experience are required for this Principal Data Scientist role?

Candidates need an 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.

What technical skills are essential for this position?

Key skills include demonstrated experience fine-tuning LLMs using LoRA/qLoRA and RAG pipelines, proficiency in prompt engineering, RLHF and model optimization, plus hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex, vector databases, Python, and ML frameworks like PyTorch.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What leadership responsibilities does this role involve?

The role includes providing technical leadership and mentorship to data scientists and ML engineers, while fostering a culture of responsible, customer-focused AI.

Gopuff

Digital delivery service for convenience items

About Gopuff

GoPuff is a digital delivery service that specializes in providing convenience items, snacks, and beverages directly to consumers. Customers can easily place orders through the GoPuff website or app, and their selected products are delivered straight to their doorsteps. The service offers a wide range of items, from candy bars to alcoholic beverages, catering to those who want quick access to everyday goods. Revenue is generated through product sales and delivery fees, with promotional deals available to attract more customers. What sets GoPuff apart from its competitors is its extensive product selection and commitment to fast delivery, aiming to meet the needs of consumers looking for convenience.

Philadelphia, PennsylvaniaHeadquarters

2013Year Founded

$4,817.2MTotal Funding

CONVERTIBLECompany Stage

Consumer GoodsIndustries

1,001-5,000Employees

Benefits

Comprehensive medical, dental, and vision insurance

Optional FSAs and HSA plans

401(k)

Commuter benefits

Supplemental employee, spouse and child life insurance to all eligible employees

Gopuff employee discount

Career growth opportunities

Internal rewards programs

Annual performance appraisal and bonus

Risks

Increased competition from DoorDash could impact Gopuff's market share in gift card delivery.

'Santa Hours' may lead to higher operational costs without guaranteed returns.

Aldi price match could strain profit margins if not managed carefully.

Differentiation

Gopuff offers 24/7 delivery with 'Santa Hours' in London, enhancing convenience.

Partnership with Blackhawk Network enables instant gift card delivery, expanding service offerings.

Acceptance of SNAP EBT nationwide positions Gopuff as a leader in accessible grocery options.

Upsides

Collaboration with Liquid Death boosts brand visibility among younger demographics.

Aldi price match initiative attracts cost-conscious consumers, enhancing competitive edge.

'Give With Gopuff' initiative improves brand image through corporate social responsibility.

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