Machine Learning Researcher

17 hours ago


San Francisco, California, United States Serable Full time

Machine Learning Engineer / Researcher

Our client is seeking a talented Machine Learning Engineer or Researcher with hands-on experience in
diffusion models
to join their growing AI team. This role is ideal for someone passionate about advancing the frontier of generative AI and applying cutting-edge research to real-world products.

Our client has received over $10 million in seed funding and has a small team of 7 ML Engineers and Researchers from the top labs in the Bay Area.

Responsibilities

  • Design, train, and optimize diffusion-based generative models for production and research applications.
  • Collaborate with cross-functional teams to integrate ML solutions into scalable systems.
  • Explore and implement state-of-the-art techniques in generative modeling, including latent diffusion, consistency models, and control mechanisms.
  • Conduct experiments, analyze performance metrics, and iterate rapidly.
  • Stay current with academic and industry trends in generative AI, computer vision, and multimodal learning.

Preferred Qualifications:

  • Strong experience with
    diffusion models
    (e.g., Stable Diffusion, DDPMs, DDIMs, ControlNet, or related architectures).
  • Background in
    deep learning frameworks
    such as PyTorch or TensorFlow.
  • Proficiency in
    Python
    and familiarity with modern ML tooling
  • Prior research or industry experience in
    machine learning, computer vision, or generative modeling
    .
  • Master's or PhD
    in Computer Science, Machine Learning, Applied Mathematics, or related fields. Equivalent research experience also is a nice to have.
  • Experience working in an AI research lab
  • Strong understanding of neural network architectures, probabilistic modeling, and optimization.

Nice to Have:

  • Experience with reinforcement learning, multimodal architectures, or text-to-image/video systems.
  • Contributions to open-source ML projects or research publications in top conferences

Equity offered in addition to salary compensation. While stated salary is the expected range, there is flexibility for high-caliber candidates with a combination of top research experience and work at top AI labs.



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