Machine Learning Engineer
August 22
🏢 In-office - Toronto
Description
• Build and deploy state of the art machine learning models at scale. • Work with a creative and ambitious team of engineers and researchers.
Requirements
• 2+ 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. • Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning. • End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI. • Ability to debug machine learning models to iteratively improve model quality and performance. • Nice to have: Familiarity with kubernetes and docker. • Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code.
Benefits
• Mentorship and support for career growth • Inclusive and collaborative culture
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