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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer - Generative Models

Nebula Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

The Opportunity: We are seeking a visionary Senior AI Research Engineer to lead the next generation of Generative AI applications. Join Nebula Future Labs and push the boundaries of Large Language Models (LLMs), Computer Vision, and Autonomous Systems. This is a high-impact role where you will define the technical roadmap for our proprietary AI platforms.

Why Join Us? We offer competitive equity, top-tier benefits, and the chance to work on cutting-edge technology that will define the landscape of 2026 and beyond.

Responsibilities

  • Architect and train state-of-the-art Large Language Models (LLMs) and multimodal systems.
  • Optimize model inference for low-latency, high-throughput environments.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance factual accuracy.
  • Collaborate cross-functionally with product and engineering teams to translate research into production-ready features.
  • Stay at the forefront of AI safety and alignment research.
  • Conduct rigorous A/B testing and performance benchmarking.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of transformer architectures, attention mechanisms, and diffusion models.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).
  • Experience with cloud infrastructure (AWS/GCP/Azure) and MLOps tooling.

Required Skills

Python PyTorch TensorFlow NLP LLMs Generative AI Machine Learning Deep Learning MLOps AWS PyTorch Hugging Face Transformer Architecture RAG

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