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Founding Engineer/ Chief Vision Scientist

3 months ago

Santa Clara, United States Mitchells Agency Full time

My team and I are partnering with the CEO and CTO at an early stage seed funded startup looking for their first AI and Research Scientist to join their team. This role will be pivotal to their success and will be part of the founding team. It is a hybrid role 1-2 days a week in their Santa Clara office.


What you’ll do in this role:

  • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
  • Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
  • Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
  • Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.


What they're looking for:

  • Strong theoretical and practical background in machine learning and computer vision including experience with state-of-the-art LLM architectures optimized for handling large context and low inference cost.
  • Advanced degree, ideally a Ph.D., in Computer Science, Electrical Engineering, or a related field with specialized research in areas such as machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques.
  • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP, Generative AI and Computer Vision
  • Demonstrated leadership abilities, with experience in guiding and mentoring a team of ML engineers.
  • Solid programming skills in Python and the ability to write clean, efficient, and well-documented code.


Preferred experience or exposure to the following technologies:

  • Experience with distributed parallel training, large-scale multi-modal foundation and generative models.
  • Familiarity with training multi-modal foundation models and relevant frameworks.
  • A track record of publications and contributions to the machine learning and natural language processing communities.