Serable
This range is provided by Serable. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $200,000.00/yr - $350,000.00/yr
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Research and Engineering
Industries: Software Development
Referrals increase your chances of interviewing at Serable by 2x.
Get notified about new Machine Learning Researcher jobs in
San Francisco Bay Area .
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Base pay range $200,000.00/yr - $350,000.00/yr
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Research and Engineering
Industries: Software Development
Referrals increase your chances of interviewing at Serable by 2x.
Get notified about new Machine Learning Researcher jobs in
San Francisco Bay Area .
#J-18808-Ljbffr