ML Product Engineer
RemoteUnited States
Job Summary
Prototype and report on top models or innovative approaches by iterating rapidly to deliver tangible business outcomes. Design and develop ML training pipelines for large-scale datasets while keeping track of top research directions and papers in video generative models to steer the innovation roadmap. Collaborate with the CTO and product development team in developing new features, focusing on improving text-to-video model output through fine-tuning and vector database isolation of specific issues like facial consistency and lighting conditions. Develop an analysis framework, write code, and improve the underlying model using diffusion architectures and transformer techniques.
Required Qualifications
- experienced individual who approaches product development like a scientist
- breaks down problems into small, isolated components
- develops hypotheses to test and address these components
- runs the experiments (in code)
- analyzes the outputs
- adjusts the next round of experiments accordingly
- develop an analysis framework
- write code
- improve the underlying model
- focus on improving the output of the text-to-video model
- use it in an enterprise application
- Strong understanding of computer vision algorithms in the context of video generation
- Experience working with diffusion models
- Experience working with transformers
- Track record in implementing state-of-the-art research papers with reproducible results
- experience in working with generative AI
- isolate issues
- improve the output either in images or video
Desired Qualifications
- NeRFs
- Experience in RLHF
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