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Senior AI Research Scientist

OmniStream 2026
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the Vanguard of Tomorrow’s Technology

OmniStream 2026 is pioneering the next generation of Agentic AI and multimodal learning systems. We are looking for a visionary Senior AI Research Scientist to lead our R&D division in San Francisco. You will be responsible for designing algorithms that will define the future of human-computer interaction, pushing the boundaries of what is possible in generative AI and predictive analytics.

Why Join Us?

Work in a high-performance, remote-first culture that values innovation and intellectual freedom. We offer competitive equity packages, top-tier healthcare, and the opportunity to shape the trajectory of the AI industry.

Responsibilities

  • Design and implement state-of-the-art deep learning architectures for next-gen AI applications.
  • Lead the research and development of proprietary Large Language Models (LLMs) and reinforcement learning agents.
  • Collaborate with cross-functional engineering teams to deploy scalable AI models into production environments.
  • Publish cutting-edge research papers and contribute to open-source communities.
  • Mentor junior researchers and PhD students to foster a culture of technical excellence.
  • Evaluate new hardware accelerators and optimize model inference for edge devices.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of professional experience in AI research or software engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
  • Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning Reinforcement Learning SQL AWS Docker Kubernetes GCP

Ready to Take This Challenge?

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