Stealth

Chief Science Officer (CSO) - NLP / Generative AI / Small Language Models

Stealth San Francisco Bay Area
No longer accepting applications

Location:


This is a full-time position, open to candidates in the US, EMEA & Canada. You must be authorized to work in these regions. We are open to transfers (H1B, etc for US).


About Us:


Are you ready to redefine the possibilities of AI and machine learning? Join us at a Microsoft-backed stealth startup as we pioneer the next generation of small language models. Our team, boasting alumni from Google Research, Stanford, and Berkeley, is on a mission to develop specialized, efficient AI systems. If you're passionate about groundbreaking technology and solving AI’s hardest problems, we want you on our team!


Key Responsibilities:


  • Grow a team of domain experts within the research team.
  • Develop technical vision, long-term strategy, and set the research direction for the organization.
  • Create and innovate new machine learning architectures to solve complex problems.
  • Design and implement novel loss functions and optimization techniques from scratch.
  • Lead research portfolio, helping to identify long-term ambitious research goals as well as intermediate milestones.
  • Engage in the full model development cycle from conceptualization to deployment.
  • Remain up-to-date on ongoing foundational model research development activities in the industry.


Qualifications:


  • Proven experience in AI/ML model development, particularly with designing and implementing new architectures and optimization methods.
  • Strong mathematical background, capable of creating and refining loss functions and other core components from scratch.
  • 10+ years of hands-on experience in large language model, NLP, and/or multimodal modeling, in both research and engineering development settings.
  • PhD, Masters, or equivalent experience in deep learning, artificial intelligence, or related technical field.
  • Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.
  • Creative problem-solving skills and a passion for innovation in AI.
  • Experience and knowledge of training language models.


Why Join Us?


  • Supportive Environment: Benefit from the resources of Microsoft and venture funding, collaborating with top-tier talent from renowned universities.
  • Top-Tier Compute: Enjoy a dedicated GPU-cluster of 2500 GPUs for research.
  • Impactful Work: Your contributions will directly shape the future of AI applications, making technology more accessible, eco-friendly, and specialized.
  • Flexibility: Enjoy the flexibility of remote work options to balance your personal and professional life.
  • Competitive Benefits: Receive competitive benefits, stock options, and more.


How to Apply:


To apply, please submit your resume detailing your experience and why you are a good fit for the role. We look forward to discovering how you can contribute to our innovative research!

  • Employment type

    Full-time

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