Reinforcement Learning Engineer
Description For Reinforcement Learning Engineer
NVIDIA, known as "the AI computing company," is seeking a Reinforcement Learning Engineer with significant compiler technology experience. The role involves being part of the compiler applied machine learning and artificial intelligence team, developing innovative solutions for compilers and development tools.
Key responsibilities include:
- Working on machine learning algorithms, system design, and processor architecture
- Innovating in areas ranging from ML algorithms to compiler technology
- Collaborating with dedicated professionals at the forefront of science and technology
The ideal candidate should have:
- BS, MS, PhD or equivalent in CS or related field, focusing on machine learning and compilers
- 3+ years of experience in SW Engineering and ML, focused on tools development
- Proficiency in Lisp/Scheme, Python, Julia, and C/C++
- Strong understanding of reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems
- Experience with compiler design and implementation
NVIDIA offers competitive salaries, comprehensive benefits, and the opportunity to work on cutting-edge technologies like Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles. The company values diversity and maintains an inclusive work environment.
Join NVIDIA to be at the forefront of accelerated computing, tackling challenges that transform industries and impact society significantly.
Responsibilities For Reinforcement Learning Engineer
- Develop new and innovative solutions in and around compilers and development tools
- Work on machine learning algorithms, system design, and processor architecture
- Innovate in areas ranging from ML algorithms to compiler technology
- Collaborate with team members at the forefront of science and technology trends
Requirements For Reinforcement Learning Engineer
- BS, MS, PhD or equivalent in CS or related field with focus on machine learning and compilers
- 3+ years experience in SW Engineering and machine learning focused on tools development
- Experience with Lisp / Scheme, Python, Julia, and C / C++
- Understanding of reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems
- Knowledge of compiler design and implementation
Benefits For Reinforcement Learning Engineer
- Equity
- Comprehensive benefits package
