Machine Learning Engineer - AI Models

Key Skills

Aartificial intelligence, Machine learning techniques, Optimization, Python Programming, PyTorch

Job Description

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Confident with Python programming and hands-on experience with PyTorch for developing deep learning models.
• Driven by curiosity and a desire to experiment, always seeking to understand how complex systems work and how to make them better.
• Possess a deep understanding of ML model architectures, enabling optimization of both individual components and their interactions.
• Easy to work with and excited to collaborate across software and hardware teams.

What We Need

• Experience bringing up state-of-the-art ML models on new hardware platforms.
• Ability to analyze performance bottlenecks, fine-tune architectures, and improve model accuracy and robustness.
• Familiarity with model optimization techniques (e.g., quantization, sparsity, attention) and key hardware features like matrix engines, caches, and memory hierarchies.
• A strong grasp of current ML research and the ability to translate insights into practical improvements.

What You Will Learn

• How to get real ML models to fly on a custom AI accelerator.
• Ways to optimize ML model performance, from application to silicon level.
• What it takes to go from research paper to production ready ML deployment.
• How to work alongside compiler, kernel, and hardware teams to drive new features, performance optimizations, and fixes.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.