4 months ago
Responsibilities
- Develop novel machine learning techniques for visual generative modeling.
- Implement and experiment with diffusion models, GANs, and transformer architectures.
- Optimize model performance and scaling capabilities.
- Help ensure safe and robust model deployment.
- Collaborate with cross-functional teams to integrate research innovations.
- Participate in research discussions and contribute to technical documentation.
Requirements
- BS or MS in Computer Science, Machine Learning, or a related field; recent graduates are welcome.
- At least 2 years of machine learning experience.
- Strong foundation in machine learning, particularly generative models.
- Solid programming skills in Python and PyTorch or TensorFlow.
- Experience with deep learning frameworks and model training.
- Understanding of computer vision and generative AI fundamentals.
- Academic or personal project experience with generative models.
- Clear communication skills and ability to work in a research team.
- Preferred: research projects or thesis work in generative AI.
- Preferred: experience with diffusion models, GANs, transformer architectures, and large language models.
- Preferred: familiarity with distributed computing and GPU optimization.
- Preferred: contributions to open-source machine learning projects.
- Preferred: academic publications or workshop papers.
- Preferred: experience with machine learning infrastructure and deployment.
Benefits
- Onsite role in the San Francisco office, 4–5 days per week.
Categories
AI ResearchML Engineering
About Genmo
Enabling the next billion AI video creators with Genmo