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Reinforcement Learning Engineer

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Salary: 
148 - 276K yearly
Experience: 
Senior (5-10 years)
Work from: 
California (USA), Texas (USA), Washington (USA), United States

Offer summary

Qualifications:

BS, MS, PhD in CS or related field, 3+ years experience in software engineering and machine learning, Experience with Lisp/Scheme, Python, Julia, C/C++, Deep familiarity with reinforcement learning and genetic algorithms, Strong educational background in related science and mathematics.

Key responsabilities:

  • Develop innovative compiler and development tools solutions
  • Work with a dedicated team on AI trends
  • Innovate in machine learning algorithms and system design
  • Contribute to processor architecture advancements
  • Implement AI/ML solutions for global products
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NVIDIA XLarge http://www.nvidia.com/
10001 Employees
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Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”.

We are looking for Reinforcement/ Machine Learning Engineer with significant experience in compiler technology to join our team. Your experience over the machine learning landscape should be diverse. Candidates should have a deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and analysis/manipulation of high dimensional data. Candidates should have a good grasp of the design and implementation of compilers and domain specific languages.

What you'll be doing:

Be part of the compiler applied machine learning and artificial intelligence team developing new and innovative solutions in and around compilers and development tools.

Work with enthusiastic and dedicated people at the forefront of science and technology trends. You will have the opportunity to innovate in areas ranging from machine learning algorithms, system design, processor architecture, and see your work used in products all over the world.

What we need to see:

  • BS, MS, PhD or equivalent experience in CS or related field with a focus on machine learning and compilers and development tools.

  • 3+ years experience in SW Engineering and machine learning focused on tools development, or equivalent.

  • Experience with Lisp / Scheme, Python, Julia, and C / C++.

  • Sufficient educational background to understand the science and mathematics involved in the above technologies.

Ways to Stand Out From the Crowd

  • 5+ years experience with Lisp / Scheme, Python, Julia, and C / C++.

  • Experience with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems

  • Expertise in developing and deploying AI/ML solutions to production environments and cloud infrastructure.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

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Experience

Level of experience: Senior (5-10 years)
Industry :
Spoken language(s):
English
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