Senior Applied Machine Learning Engineer, NEMO Microservices
SuprAIJobs · Santa Clara, CA · 2 days ago
EngineeringFull-time
About the role
NVIDIA is seeking a Senior Applied Machine Learning Engineer to join the NEMO Microservices team in Santa Clara, CA. This position is full-time and on-site.
Responsibilities
- Develop and optimize machine learning algorithms and models using reinforcement learning, genetic/evolutionary algorithms, and predictive modeling techniques.
- Work with complex systems and analyze high-dimensional data.
- Design and implement compilers and domain-specific languages.
- Innovate in areas related to machine learning algorithms, system design, processor architecture, and product development.
Requirements
- Significant experience in compiler technology.
- Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and analysis/manipulation of high dimensional data.
- A good grasp of design and implementation of compilers and domain-specific languages.
Qualifications
- Experience with machine learning and artificial intelligence.
- Strong understanding of computer science fundamentals.
- Excellent problem-solving skills and ability to work independently and collaboratively.
Skills
- Reinforcement Learning
- Genetic/ Evolutionary Algorithms
- Predictive Modeling
- Complex Systems Analysis
- Compiler Design and Domain-Specific Languages
Benefits
- Competitive salary range of $140K - $270K.
- Comprehensive benefits package.
- Equity options.
- Opportunities to work on cutting-edge technologies including Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
Pay
- Base salary range: $148,000 - $276,000.
Schedule
- Full-time, on-site position.
Company Information
- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
- 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.
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