Machine Learning Engineer, AI Models

Join Tenstorrent: A Leader in AI Innovation and Performance

Company Overview:

At Tenstorrent, we are at the forefront of AI technology, crafting systems that dramatically enhance performance, ease of use, and cost efficiency. We're pushing boundaries in AI computing paradigms, integrating cutting-edge advances across software models, compilers, platforms, networking, and semiconductors. Our teams, brimming with diverse and talented technologists, have meticulously engineered a high-performance RISC-V CPU. Driven by a unified passion for AI, we aim to construct the ultimate AI platforms. We prize collaboration, curiosity, and the determination to tackle challenging issues. Currently, we are expanding our team and actively seeking contributors at all levels who possess a zest for machine learning and AI development.

Job Title: Machine Learning Engineer, AI Models

Job Location: Hybrid roles available in Toronto, ON; Boston, MA; Santa Clara, CA; Austin, TX.

Key Responsibilities:

• Collaborate with interdisciplinary teams to derive project requirements and transform them into powerful AI-driven solutions.
• Design and refine neural network architectures with PyTorch, targeting exceptional performance across various tasks.
• Manage the training, validation, and optimization of machine learning models utilizing pertinent datasets to guarantee precision and resilience.
• Diagnose and resolve model performance challenges, innovating continuously to elevate outcomes.
• Integrate cutting-edge research and technological developments into project workflows, maintaining a competitive edge in machine learning applications.
• Cooperate closely with engineering departments to ensure seamless integration of AI models into operational systems.

Required Experience & Qualifications:

• A Bachelor’s or advanced degree in Computer Science, Engineering, or a related field, or equivalent practical expertise.
• Robust proficiency in Python and extensive experience with PyTorch in developing and training deep learning models.
• Proven track record in deploying neural networks across multiple platforms.
• Fundamental understanding of both supervised and unsupervised machine learning techniques.
• Creative problem-solving abilities, paired with a strong analytical mindset.
• Prior experience with C++, kernel programming, and familiarity with GPU or AI-accelerator architectures will be advantageous.
• Exceptional communication skills and a penchant for teamwork.

Compensation:

Tenstorrent offers a highly competitive salary range of $100k - $500k, encompassing both base salary and variable compensation, depending on experience, skills, education, and location. We offer a comprehensive benefits package and are committed to equal opportunity employment.

Additional Information:

Please note that due to U.S. Export Control laws and regulations, compliance with licensing regulations is mandatory for all candidates. Employment offers are contingent upon the granting of a U.S. export license with acceptable conditions. All engineering and related support positions may require access to technology subject to U.S. Export Controls, necessitating relevant citizenship, permanent residency, or refugee/asylee documentation.

For pioneering engineers eager to excel in a fast-paced and innovative environment, Tenstorrent provides an unparalleled opportunity to impact the future of AI technology. Apply now to become part of a visionary company leading the next generation of AI advancements.