Deep RL Research Scientist

As a Deep Reinforcement Learning Engineer you will be working on:

• Cutting edge problems in deep reinforcement learning, circuit design, robot learning, and systems optimization
• Inventing novel models that combine unsupervised, supervised learning and reinforcement learning.
• Research and Development on the front of DRL research; Offline RL, Meta RL, representation learning for Unsupervised RL.
• Addressing the RL core problems, sample efficiency, generalization, continual learning, unsupervised representation for RL, and language in RL .

The ideal candidate should exhibit the following behavioral traits:

• Problem-solving skills
• Ability to multitask
• Strong written and verbal communication skills
• Ability to work in a dynamic and team oriented environment

This is an entry level position and compensation will be given accordingly.

Qualifications

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

• The candidate must possess a PhD degree in Computer Science, Electrical Engineering or any related fields (Statistics, Applied Math, or Computational Neuroscience)

1+ year of experience on below areas:

• Design and train deep learning, deep reinforcement models and other machine learning techniques
• Original contributions to the fields of deep reinforcement learning in the form of peer-reviewed publications at top-tier conferences or journals
• Familiarity with DL, ML frameworks like PyTorch and Tensorflow

Preferred Qualifications:

• Familiarity with details of implementing DRL algorithms
• Experience with Kubernetes and Docker
• Domain knowledge in hardware optimization and circuit design
• Domain knowledge in robotics
• Experience with deploying, running and using distributed systems for DRL training

The Data Platforms Engineering and Architecture (DPEA) Group invents, designs & builds the world's most critical computing platforms which fuel Intel's most important business and solve the world's most fundamental problems. DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Other Locations

US, California, San Diego;US, California, Santa Clara;US, Oregon, Hillsboro

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.