
Machine Learning Engineer - Reinforcement
At NVIDIA, we are passionate about advancing the state of the art of Reinforcement Machine Learning Engineering. We are looking for an experienced and enthusiastic individual to join our team as a Machine Learning Engineer - Reinforcement. This is a great opportunity for a creative and analytical thinker to make a difference in the field of Machine Learning.The successful candidate should possess a degree in Computer Science or a related field, with 5+ years of experience in Machine Learning engineering, and a proven track record of applying Machine Learning algorithms to solve real-world problems. They should have a strong background in Reinforcement Learning, and a comprehensive understanding of Deep Learning frameworks such as TensorFlow, PyTorch, and Keras. A thorough knowledge of modern software engineering practices, including version control, software development lifecycle, and debugging techniques, is also required.We’re looking for an individual who is highly motivated and has a passion for Machine Learning, with an eye for detail and a drive to stay up-to-date with the latest developments in the field. We value strong team players, who are able to bring their own innovative ideas to the table. If this sounds like you, we’d love to hear from you.
Responsibilities:
- Develop and implement Reinforcement Machine Learning algorithms to solve real-world problems.
- Utilize Deep Learning frameworks such as TensorFlow, PyTorch, and Keras.
- Stay up-to-date with the latest developments in the field of Machine Learning.
- Provide innovative ideas to the team.
- Debug and troubleshoot Machine Learning applications.
- Employ modern software engineering practices, including version control and software development lifecycle.
- Monitor and optimize the performance of ML algorithms.
- Collaborate effectively with other team members.
Bachelor's Degree In Computer Science
Or Related Field
Engineering
Mathematics
Pytorch
Experience With Deep Learning Frameworks Such As Tensorflow
Extensive Experience In Applying Machine Learning Techniques
Or Caffe
Knowledge Of Optimization Techniques For Deep Learning Architectures
Knowledge Of Distributed Computing Systems
Such As Hadoop And Apache Spark
Experience With Accelerated Computing Platforms
Such As Gpus And
Data Analysis
Machine Learning
Deep Learning
CUDA
Computer Vision
Tensorflow
Algorithm design
Natural language processing
Data Mining
Keras
Pytorch
Mathematics
GPU programming
Neural Networks
Pattern Recognition
Communication
Leadership
Problem Solving
Time management
Interpersonal Skills
Organization
flexibility
Creative Thinking
Teamwork
Adaptability
According to JobzMall, the average salary range for a Machine Learning Engineer - Reinforcement in Santa Clara, CA, USA is approximately $96,829 to $132,532 per year.
This range is based on data from various sources, including salary surveys, job postings, and employer contributions. It is important to note that salaries may vary based on experience, skills, location, and other factors.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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