Machine Learning Engineer, Tenstorrent
AI Models
$100-500k
More information about location
Building computers for AI
Job no longer available
Building computers for AI
501-1000 employees
Job no longer available
$100-500k
More information about location
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- The ideal candidate will not only possess strong technical skills but also exhibit a deep curiosity, investigative mindset, and a passion for staying up-to-date with the latest advancements in the AI landscape
- Bachelor's or higher degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- Strong proficiency in Python programming and hands-on experience with PyTorch for developing and training deep learning models
- Demonstrated experience in designing, training, and deploying neural networks for various applications
- Solid understanding of machine learning fundamentals, including supervised and unsupervised learning techniques
- Excellent problem-solving skills and the ability to approach challenges with creativity and a strong analytical mindset
- Familiarity with debugging techniques and a knack for identifying issues and finding effective solutions
- Experience with C++ is a plus but not mandatory
- A self-motivated individual with a strong desire to learn, explore, and excel in a fast-paced, innovative environment
- Strong communication skills and the ability to work collaboratively in a team setting
What the job involves
- As a Machine Learning Engineer focused on AI models, you will play a pivotal role in the development and deployment of advanced neural networks and machine learning models
- Your expertise in Python and PyTorch will be critical in designing, training, and fine-tuning complex models that will be applied to solve real-world challenges
- Collaborate with cross-functional teams to understand project requirements and translate them into effective AI solutions
- Design, implement, and iterate on neural network architectures using PyTorch to achieve optimal performance on diverse tasks
- Train, validate, and fine-tune machine learning models using relevant datasets to ensure high accuracy and robustness
- Investigate and troubleshoot model performance issues, iterating on models and techniques to continuously improve results
- Stay current with the latest research and developments in the field of machine learning and AI, applying relevant advancements to our projects
- Contribute to the design and implementation of scalable and efficient AI pipelines
- Work closely with engineers to integrate AI models into production systems
Our take
Advances in artificial intelligence apps, combined with a global chip shortage, are strong tailwinds for chip processor Tenstorrent. The semi-conducter developer is designing specialized chips for running artificial intelligence applications, building chips for what it calls "software 2.0".
The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.
While the market for specialised AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Dec 2024
$700m
LATE VC
Jun 2024
$300m
LATE VC
Total funding: $1.3bn
Company values
- Collaboration
- Curiosity
- Commitment to Solving Hard Problems
Company HQ
Flemingdon Park, Toronto, ON
Articles
Leadership
Jim Keller
(CEO)Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.
Milos Trajkovic
(Co-Founder & Director of Hardware Engineering)Former Manager of Firmware Design Engineering at AMD, and FPGA design engineer at Signum Concepts.
Ivan Hamer
(Co-Founder)Former Consulting Software/Embedded Engineer at AMD, and Senior Software Developer at iNTERFACEWARE.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 23 more jobs at Tenstorrent