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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Senior Deep Learning Engineer, LLM Accuracy Evaluation

NVIDIA - Masovian Voivodeship, Poland

AI Summary ✨

Requirements:

  • BS, MS, or PhD in Computer Science, AI, Applied Math, or related field, or equivalent experience, with 5+ years of industry experience.
  • 3+ years of hands-on experience in AI for natural language processing (NLP) and large language models (LLMs).
  • Strong problem-solving, debugging, performance analysis, test design, and documentation skills.
  • Solid mathematical foundations and expertise in AI/DL algorithms.
  • Excellent written and verbal communication skills, with the ability to work both independently and collaboratively in a fast-paced environment.

Nice to Haves:

  • Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard or HELM).
  • Hands-on experience with inference and deployment environments like TensorRT, ONNX, or Triton.
  • Passion for DevOps/MLOps practices in deep learning product development.
  • Experience running large-scale workloads in high-performance computing (HPC) clusters.
  • Strong understanding of Linux environments and containerization technologies like Docker.

What you'll be doing:

  • Collaborate closely with partners and the open-source community to deliver flagship models as highly optimized NVIDIA Inference Microservices (NIM).
  • Research and develop innovative deep learning methodologies to evaluate new model families across diverse domains.
  • Analyze, influence, and enhance AI/DL libraries, frameworks, and APIs to ensure consistency with best engineering practices.
  • Research, prototype, and build robust tools and infrastructure pipelines to support groundbreaking AI initiatives.

Perks and Benefits:

  • Outstanding opportunity to craft the future of AI in a fast-growing company.
  • Work with world-class software engineers and partners on advanced models with lightning-fast inference.
  • Access to enterprise-grade GPU clusters capable of hundreds of PetaFLOPS.
  • Gain early access to unreleased hardware and make a direct impact on NVIDIA's roadmap and the broader AI landscape.
  • NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
Apply here

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