Gopuff

AI Engineer II

Gopuff

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $175,000 - $220,000 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudPyTorch

About the role

  • Own core components of instant shopping personal intelligence—context engineering, grounding, alignment, and serving.
  • Design context engineering strategies and real-time retrieval.
  • Build SFT pipelines and implement reinforcement learning from human feedback (RLHF) and verifiable rewards (RLVR).
  • Use relevant APIs for data augmentation and ship low-latency, reliable inference.
  • Collaborate with Engineering and Data Science to run end-to-end experiments and deliver production models that improve business KPIs.

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
  • Track record of publications in top-tier venues (NeurIPS, ICML, ICLR, AAAI) or equivalent industry impact
  • Commitment to responsible AI development and alignment research.
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)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningreinforcement learningtransformer architectureslarge language modelsfine-tuning techniquesLoRAQLoRAPyTorchcloud-native ML infrastructuredeclarative programming
Soft skills
collaborationresearch experiencesystems engineeringcommitment to responsible AI
Certifications
MSc in Computer SciencePhD in Computer Science
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