Staff Machine Learning Engineer, Model Training

Key Skills

Aartificial intelligence, C++, JAX framework, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

We welcome candidates at various experience levels. 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

• A proven leader with 5+ years of experience driving technical roadmaps and mentoring engineering teams in the ML industry.
• An expert in neural networks, with extensive, hands-on experience building and scaling distributed training systems.
• Fluent in Python and C++, with deep knowledge of modern AI frameworks like PyTorch or JAX. Experience with compiler infrastructure or custom hardware is a major plus.

What We Need

• Technical ownership of the training roadmap for our compiler, driving strategic planning and defining priorities for the team.
• Scaling out to various modes of distributed model training with architectural oversight and performance optimization.
• Benchmarking, analysis, and optimization of training performance across Tenstorrent's hardware and software stack.
• Leadership through mentorship and by driving critical cross-team initiatives to ship reliable, scalable software.

You'll Learn How To

• Architect and implement compiler optimizations specifically for training workloads on our custom hardware.
• Identify bottlenecks, debug performance issues, and improve developer workflows across our stack.
• Adapt and evolve our entire software infrastructure and leverage our hardware capabilities to stay ahead of emerging AI models.

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