Engineer, Machine Learning

Intel Corporation; United States; On-site; USD 100,000 - 500,000; Full time

Job summary

A cutting-edge AI technology company is seeking a Machine Learning Engineer to develop and optimize algorithms for their innovative platform. This fully remote role requires collaboration and problem-solving skills, along with a strong foundation in C++ and Python. The position offers a competitive salary based on experience and skills, with significant growth potential.

Benefits

Competitive compensation package

Equal opportunity employer

Qualifications

• Requires 18 months of experience in a related role.
• Experience with machine learning algorithms is essential.

Responsibilities

• Designing and developing demonstration machine learning systems.
• Performing statistical analyses and fine-tuning.
• Training and retraining systems as needed.

Skills

Machine learning techniques

Training reinforcement learning agents

Proficiency in C++

Proficiency in Python

Real-time system optimization

Education

Bachelor’s degree in Science, Technology, Engineering, or a related field

Job description

Tenstorrent is a cutting-edge AI technology company revolutionizing performance expectations, ease of use, and cost efficiency in AI. They are developing a unified AI platform encompassing software models, compilers, platforms, networking, and semiconductors. Their team has built a high-performance RISC-V CPU from scratch and is passionate about creating the best AI platform. They emphasize collaboration, curiosity, and problem-solving. The company is growing and seeking contributors at all experience levels.

Job Description: Engineer, Machine Learning (Fully Remote – US)

Job Requirements:

• Bachelor’s degree in Science, Technology, Engineering, or a related field.
• 18 months of experience in a related role.

Skills:

• Experience with machine learning techniques.
• Expertise in training reinforcement learning agents using PyTorch/TensorFlow.
• Proficiency in C++ and Python.
• Experience with real-time system optimization.

Job Duties:

• Designing and developing demonstration machine learning and deep learning systems.
• Model benchmarking.
• Running machine learning tests and experiments for customers.
• Implementing appropriate ML algorithms.
• Selecting appropriate datasets and data representation methods.
• Performing statistical analyses and fine-tuning using test results.
• Training and retraining systems as needed.
• Extending existing ML libraries and frameworks.
• Developing novel ML models and primitives that leverage Tenstorrent’s architecture for improved performance and efficiency.

Compensation: $100,000 – $500,000 (including base and variable compensation, dependent on experience, skills, education, background, and location).

Benefits: Tenstorrent offers a highly competitive compensation package and benefits. They are an equal opportunity employer.

Important Note Regarding Export Control Laws: Due to U.S. Export Control laws, Tenstorrent requires compliance with licensing regulations when transferring technology internationally. Citizenship/permanent residency, asylee, and refugee information may be required. Employment is contingent upon obtaining a U.S. export license (if required); if a license is not granted, the offer will be rescinded.

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