Reinforcement Learning Engineer

Key Skills

Aartificial intelligence, Algorithms, C Programming, C++, Infrastructure as code, Julia, Machine learning techniques, Python Programming

Job Description

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.