We are seeking a passionate AI/ML Engineer with expertise in training large
scale diffusion models for image generation. The ideal candidate will drive
the design, development, and deployment of cutting-edge image generation
models to create groundbreaking visuals and experiences for our users.
Pixelcut is a AI Photo Editor used by millions, founded by a team from
Stanford.
**Key Responsibilities:**
* Design, implement, and train diffusion models for high-quality image generation tasks.
* Collaborate closely with the research team to translate state-of-the-art research into scalable solutions.
* Optimize algorithms for efficiency and deploy them in real-world, large-scale environments.
* Conduct rigorous model evaluations and iterate upon feedback to refine and improve models.
* Stay updated with the latest trends and research in AI, specifically focusing on diffusion models and image generation techniques.
* Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to integrate models into product offerings.
* Document methodologies, results, and findings in a manner that is clear and actionable for both technical and non-technical stakeholders.
**Qualifications:**
* Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
* Solid experience with diffusion models, specifically in the context of image generation.
* Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
* Strong understanding of machine learning algorithms, processes, tools, and platforms.
Pixelcut focuses on Artificial Intelligence. Their company has offices in San
Francisco. They have a small team that's between 11-50 employees.
You can view their website at <https://pixelcut.ai/>
