Machine Learning Intern, AI Compiler - Model Training (Serbia)
About this role
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.
As an intern at Tenstorrent, you will experience working on a carefully defined and real engineering project, guided by a dedicated mentor and a manager, and as a part of a team. This role focuses on model training pipelines on the Tenstorrent compiler stack and how neural networks are brought up and optimized on our hardware. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.
This role is on-site based in Belgrade, Serbia.
Who You Are
- Possessing or currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Strong understanding of neural network fundamentals.
- Proficiency in Python; experience with C++ is a plus.
- Ability to learn and work effectively within a team environment.
What We Need
- Participate in the implementation and validation of model training pipelines on Tenstorrent compiler stack, specifically using PyTorch and JAX.
- Support benchmarking, analysis, and performance optimization of various model architectures.
- Contribute to efforts in scaling out distributed model training under guidance and participate in discussions related to the co-design of Tenstorrent's hardware and software stack.
- Assist in the integration of Tenstorrent software with widely used tools in the machine learning community.
What You Will Learn
- The process of getting neural network models to train correctly and efficiently on our hardware.
- Techniques for benchmarking, analysis, and performance optimization of various model architectures.
- How to scale out distributed model training and participate in hardware–software co-design discussions.
- How Tenstorrent software integrates with widely used tools in the machine learning community and how a cross‑functional engineering team collaborates on real projects.
Hiring Timelines
This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:
- Winter Term: Mar–May work term, Nov–Jan recruit.
- Summer Term: Aug–Oct work term, Jan–May recruit.
- Fall Term: Oct–Dec work term, Apr–May recruit.
Please note these timelines are for reference only. Actual timelines may vary.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
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