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Engineer, Machine Learning

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Science, Technology, Engineering or related field., 18 months of experience in machine learning or related field., Experience with machine learning techniques and training reinforcement learning agents using Pytorch/Tensorflow., Proficiency in C++ and Python, with skills in real-time system optimization..

Key responsabilities:

  • Design and develop demonstration machine learning and deep learning systems.
  • Run machine learning tests and experiments for customers.
  • Implement appropriate ML algorithms and select suitable datasets.
  • Extend existing ML libraries and develop novel ML models to enhance performance and efficiency.

Tenstorrent Inc. logo
Tenstorrent Inc. Scaleup https://www.tenstorrent.com/
51 - 200 Employees
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Job description

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.

Tenstorrent USA, Inc:  Tenstorrent USA, Inc seeks Engineer, Machine Learning. This position is fully remote, applicant can live anywhere in the US. Job Requirements: Bachelor’s degree in Science, Technology, Engineering or related field and 18 months of experience in job offered or related field. Skills: Experience in machine learning techniques; expertise in training reinforcement learning agents using Pytorch/Tensorflow; using C++, Python and real time system optimization.

 

Job Duties:                

Designing and developing demonstration machine learning and deep learning systems; Model benchmarking; Running machine learning tests and experiments on behalf of customers; Implementing appropriate ML algorithms; Select appropriate datasets and data representation methods; Run machine learning tests and experiments; Perform statistical analyses 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 and efficiency improvements

IF INTERESTED, PLEASE E-MAIL RESUMES:

 

Tenstorrent USA, Inc:

Jessica Yu

Sr. Tech Recruiter

jyu@tenstorrent.com

 

#LN-DNI

 

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set  by the U.S. government.

Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.  If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Curiosity
  • Problem Solving

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