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AI/AGI Research Engineer 2026

OmniCorp FutureTech
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to define the future? OmniCorp FutureTech is seeking a visionary AI/AGI Research Engineer to lead the development of our "2026" neural architecture project. This is not just a job; it is an invitation to shape the technological landscape of the next decade.

We are building systems that rival human cognition. If you are passionate about pushing the boundaries of what is possible in machine learning and deep reinforcement learning, we want to hear from you. You will work directly with our Chief Scientists to pioneer models that will change the world.

Why You'll Love It:

  • Work on the bleeding edge of technology with a world-class team.
  • Competitive equity package and top-tier health benefits.
  • Flexible remote-first policy with a vibrant office culture in the heart of SF.

Responsibilities

  • Architect and train next-generation large language models and multimodal systems.
  • Implement novel optimization techniques to improve model efficiency and reduce inference costs.
  • Collaborate with the ethics board to ensure safe and responsible deployment of autonomous agents.
  • Manage and optimize massive GPU clusters using Kubernetes and distributed training frameworks.
  • Conduct peer-reviewed research to stay ahead of industry benchmarks and publish in top-tier conferences.

Qualifications

  • Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Proven track record of deploying ML models at scale in production environments.
  • Expert knowledge of Python, PyTorch, and CUDA.
  • Strong understanding of transformer architectures, diffusion models, and causal inference.
  • Experience with cloud infrastructure (AWS/GCP/Azure) and high-performance computing.

Required Skills

Python PyTorch Machine Learning Deep Learning Research San Francisco California AI NLP CUDA

Ready to Take This Challenge?

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