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About the Role

As a Senior Machine Learning Engineer on the ML Models team, you will lead the bring-up and optimization of cutting-edge AI models for custom AI devices. You will experiment, optimize, and push boundaries while solving real-world problems, working on models used in practical applications.

Responsibilities

• Bring up and optimize cutting edge AI models on custom AI devices.
• Experiment with and optimize AI models.
• Push boundaries in AI model development.
• Solve real-world problems with AI models.
• Debug performance issues.
• Tune architectures for improved performance.
• Boost model accuracy and robustness.
• Work alongside compiler, kernel, and hardware teams to drive new features, performance optimizations, and fixes.

Requirements

• Hands-on experience bringing up state-of-the-art ML models on new hardware platforms.
• Strong debugging instincts.
• A curiosity-driven mindset that stays current with ML research and brings practical insights to real-world engineering challenges.
• Eligibility to access U.S. export-controlled technology, potentially contingent on citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.

Skills

• Python programming
• PyTorch
• Deep learning models
• ML model architectures
• Model optimization techniques (quantization, flash attention, kernel fusing, multi-device parallelization)
• Leading small groups of engineers
• Cross-functional team collaboration

Location

• Toronto, ON
• Remote (on a candidate-by-candidate basis)

Work Type

• Hybrid
• Remote

Experience Level

• Senior
• All seniorities

Salary/Compensations

• $100k - $500k (including base and variable compensation targets)

Benefits

• Highly competitive compensation package

About the Company

• Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
• Solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors.
• The diverse team has developed a high performance RISC-V CPU from scratch.
• The team shares a passion for AI and a deep desire to build the best AI platform possible.
• Values collaboration, curiosity, and a commitment to solving hard problems.

Equal Opportunity

• Equal opportunity employer.