AI Engineer II at Gopuff

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, E-commerceIndustries

Requirements

MSc or PhD in Computer Science, Machine Learning, or equivalent research experience with significant contributions to AI/ML literature
Established experience in large-scale machine learning research with demonstrated impact on real-world systems
Deep expertise in transformer architectures, large language models, and modern pre- and post-training paradigms
Mastery of advanced fine-tuning techniques including LoRA/QLoRA, adapter methods, and parameter-efficient transfer learning
Research experience with agentic AI frameworks, multi-agent systems, and declarative programming approaches (DSPy, LangChain ecosystem)
Strong systems engineering capabilities with PyTorch, distributed training, and cloud-native ML infrastructure

Responsibilities

Own core components of instant shopping personal intelligence, including context engineering, grounding, alignment, and serving
Design context engineering strategies and real-time retrieval systems
Build SFT pipelines and implement RLHF and RLVR using GRPO/GSPO
Use relevant APIs for data augmentation and ship low-latency, reliable inference (batching, caching, quantization, streaming) with strong observability and safety
Pioneer novel architectures for multi-modal context integration across temporal, spatial, and behavioral dimensions
Develop foundational techniques for real-time knowledge grounding with dynamic constraint satisfaction
Research declarative programming paradigms (DSPy) for robust prompt compilation and systematic LLM behavior specification
Design and develop multi-agent orchestration systems (LangChain, LangGraph, CrewAI, Autogen, LlamaIndex) that exhibit emergent reasoning capabilities
Advance reasoning-centered supervised fine-tuning methodologies with novel data curation, synthetic generation, and quality assurance frameworks
Develop and evaluate model reasoning (task decomposition, tool-use, and self-correction) to improve grounded recommendations and task completion under real-world constraints
Research parameter-efficient adaptation techniques including LoRA variants, Text-to-LoRA synthesis, and dynamic adapter routing
Pioneer RLHF and RLVR with emphasis on scalable oversight and develop next-generation policy optimization algorithms beyond GRPO/GSPO with formal safety guarantees
Research interpretability, controllability, and alignment verification for production agentic systems
Develop formal methods for safe exploration, reward hacking prevention, and distributional robustness
Pioneer privacy-preserving techniques and federated learning approaches for personal AI systems
Research efficient inference architectures including novel quantization, caching, and streaming paradigms
Develop evaluation frameworks that bridge offline metrics with online performance and safety criteria
Build foundational infrastructure for rapid experimentation and deployment of research breakthroughs
Run experiments end-to-end and deliver production models that drive measurable lifts in business KPIs under privacy-by-design and rigorous evaluation, in partnership with Engineering and Data Science

Skills

DSPy

LangChain

LangGraph

CrewAI

Autogen

LlamaIndex

RLHF

SFT

RLVR

GRPO

GSPO

quantization

batching

caching

streaming

multi-agent orchestration

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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