AI Engineer III

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October 15

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Gopuff

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Groceries, Alcohol, Home Essentials & more.

5001 - 10000 employees

Founded 2013

💰 Funding Round on 2022-05

📋 Description

• Lead the design and deployment of agentic AI that reasons over rich, real‑world context and constraints. • Define the architecture, standards, and evaluation strategy that connect research to real‑world lift. • Mentor colleagues and influence cross‑functional roadmaps. • Ship systems that deliver measurable improvements to core customer and business outcomes. • Set the strategy for context engineering to maximize precision/recall of key order metrics across sessions, households, locales, and time. • Architect multi‑modal context integration and real‑time grounding with dynamic constraint satisfaction. • Establish retrieval freshness and memory policies; formalize context schemas and data contracts. • Design multi‑agent orchestration patterns for robust emergent reasoning. • Own the reasoning architecture and evaluation strategy for low-latency outcomes at scale. • Drive parameter‑efficient adaptation strategies with clear criteria for specialization vs. generalization.

🎯 Requirements

• PhD in Computer Science, Machine Learning, or equivalent research experience with significant contributions to AI/ML literature. • 7+ years of building and shipping large‑scale ML systems with significant ownership; proven impact in production LLM or RL‑driven products. • 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. • Track record of publications in top-tier venues (NeurIPS, ICML, ICLR, AAAI) or equivalent industry impact. • Deep expertise in transformer architectures, SFT, and RLHF; hands‑on leadership with RLVR and verifiable reward design. • Mastery of policy optimization (DPO/PPO/GRPO/GSPO) and the ability to extend/regularize policies under safety, latency, and cost constraints. • Strong grounding in offline evaluation, counterfactual estimators, and safe online ramp strategies. • Systems fluency: PyTorch, distributed training, low‑latency serving, observability, and cloud‑native ML infra. • Demonstrated leadership across cross‑functional teams, with clear communication and mentoring track record. • Commitment to responsible AI: privacy, safety, and alignment principles embedded end‑to‑end.

🏖️ 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)