Machine Learning Researcher
17 hours ago
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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