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Senior AI/ML Engineer - Generative Models (2026 Vision)

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

At Nebula Dynamics, we are building the operating system for the next generation of intelligent machines. As we look toward 2026, our goal is to pioneer the next leap in Agentic AI and autonomous decision-making systems.

We are seeking a highly skilled Senior AI/ML Engineer to lead the development of our next-generation Large Language Models (LLMs) and multimodal agents. You will work at the intersection of research and production, pushing the boundaries of what is possible in natural language processing.

Why Join Us?

  • Future-Forward Tech: Work on cutting-edge AI research that will define the 2026 landscape.
  • Impactful Work: Your models will power real-world applications affecting millions of users.
  • Competitive Package: Top-tier compensation and equity packages.

Join us in shaping the future of intelligence.

Responsibilities

  • Model Architecture: Design, train, and fine-tune state-of-the-art LLMs using transformer architectures and novel neural network designs.
  • Productionization: Deploy models to high-scale production environments using MLOps best practices (Kubernetes, Docker, MLflow).
  • Research: Conduct rigorous research to improve model accuracy, efficiency, and reduction of hallucinations.
  • Collaboration: Partner with data scientists and product managers to translate research into scalable product features.
  • Optimization: Optimize inference latency and cost-efficiency for real-time applications.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of experience in AI/ML, with at least 2 years focused on LLMs or Generative AI.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; experience with Hugging Face Transformers.
  • System Design: Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).
  • Innovation: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or open-sourcing high-impact projects.

Required Skills

Python PyTorch TensorFlow LLM NLP Machine Learning MLOps AWS Docker Kubernetes

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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