ML Engineer at fast-growing AI startup

As an ML Engineer at this fast-growing AI startup, you will design and train advanced deep learning systems at scale. This role focuses on pushing the boundaries of modern architectures and optimization techniques. You will work alongside a high-caliber team in NYC to evaluate models and contribute to the broader machine learning landscape.

Fast-growing AI startup

• Design, train, and evaluate sophisticated deep learning systems using PyTorch or JAX.
• Implement modern deep learning architectures and optimization strategies for high-performance models.
• Stay abreast of current ML literature to integrate novel research into production-ready systems.

• At least 2 years of experience at top tech companies or startups specifically training Large Language Models.
• Deep proficiency in PyTorch or JAX and modern deep learning tooling and infrastructure.
• Breadth of knowledge across ML literature, including optimization, architectures, and evaluation frameworks.

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• Join a high-performing team of engineers from top-tier technology companies and research labs.
• Work at a well-funded startup backed by top-tier VCs in the heart of NYC's tech scene.
• Influence the direction of cutting-edge AI products by applying deep learning literature beyond generative models.