Field Application Engineer - Machine Learning
Tenstorrent
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See open jobs at Tenstorrent.See open jobs similar to "Field Application Engineer - Machine Learning" Work In Tech.Responsibilities
- Work with the customer-facing team to support clients with their ML models on Tenstorrent hardware
- Designing and developing demonstration machine learning and deep learning systems
- Running machine learning tests and experiments on behalf of customers
- Benchmarking models
- Implementing appropriate ML algorithms
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements
Experience & Qualifications
- Background in Electrical/Computer Engineering, Computer Science, Machine Intelligence, Engineering Science, or Math;
- Proven experience as a Machine Learning Engineer or similar role (a fleshed-out GitHub repo a plus)
- Experience with algorithms, data structures, and software development in Python and C/C++.
- Deep knowledge of math, probability, statistics and algorithms
- Experience in solving business problems with Machine Learning models
- Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus
This job is no longer accepting applications
See open jobs at Tenstorrent.See open jobs similar to "Field Application Engineer - Machine Learning" Work In Tech.