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Research Engineer / Research Scientis (Post-training)
Toronto, Ontario, Canada
Mid Level
Full-Time
About the role
- In this role, you will develop the post-training pipeline for our text-to-image foundation models end to end, from data strategy to deployment, advancing techniques such as RLHF, RLAIF, and work on personalization/customization
- You will contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines
- You’ll work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy- End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI
- Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning
- Nice to have: Familiarity with kubernetes and docker
- 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow
- Experience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch
- Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code
- Ability to debug machine learning models to iteratively improve model quality and performance