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Senior AI/ML Research Engineer

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Vanguard of Artificial Intelligence.

OmniFuture Systems is pioneering the next generation of autonomous agents and generative intelligence. We are looking for a visionary Senior AI/ML Research Engineer to lead our research division focused on AGI (Artificial General Intelligence) advancements. If you are passionate about pushing the boundaries of what's possible with Large Language Models (LLMs) and multimodal architectures, this is your chance to build the future.

We offer a competitive compensation package, equity packages, and a remote-first culture designed for high-performance teams.

Responsibilities

  • Lead the research and development of cutting-edge algorithms for next-gen AI systems, focusing on scalability and efficiency.
  • Design and implement novel neural network architectures to improve model reasoning and cognitive capabilities.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready models.
  • Publish high-impact research papers in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Optimize existing models for deployment in edge devices and large-scale cloud environments.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Artificial Intelligence.
  • 5+ years of professional experience in AI/ML research or software engineering, specifically with Deep Learning frameworks.
  • Strong proficiency in Python, PyTorch, TensorFlow, and C++.
  • Extensive experience with NLP, Transformers, or Reinforcement Learning.
  • Demonstrated track record of publishing research in peer-reviewed journals or conferences.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, ambiguous startup environment.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning AI Data Science C++ Reinforcement Learning LLMs Transformer Models Research San Francisco California

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