Senior Research Scientist - Reinforcement Learning

Key Skills

API, C Programming, C++, CUDA/GPU programming, Embedded Systems, Julia, Keras software library, Linux Operating system, Machine learning techniques, OpenGL, Python Programming, PyTorch, R Programming, Reinforcement Learning, TensorFlow, Vulkan

Job Description

Our team has an immediate permanent opening for a Senior Research Scientist.

Responsibilities:

• Work on challenging but impactful projects both in research and real-world applications

• Conduct high-quality research in the topics of continual learning, multitask / transfer learning, offline RL, etc.

• Develop prototype applications in autonomous driving, and other complex real-world optimization problems

• Conduct innovative research, and combing research with engineering to create real-world impacts

• Work closely with others to design state-of-the-art AI solutions and machine learning algorithms, to evaluate them both with common benchmarking suites and with internal simulation environments & date sets, and to publish the research results at top conferences

• Support R&D in the domains of autonomous driving, robotics, network control, enterprise supply chain management, data center and cloud facility optimization, and chip design, etc. 

• Lead research teams and take part in setting research strategies

What you'll bring to the team:

• PhD in computer science or related fields with a focus on reinforcement learning & decision-making

• Papers at relevant conferences such as NeurIPS, ICML, ICLR, AAAI, IJCAI, AAMAS, ICRA, RSS, etc.

• In-depth hands-on experience in Python, C/C++, R, Julia, TensorFlow, PyTorch, Keras, etc. and a track record of translating ideas into research prototypes quickly

• Working or internship experience at industry research labs or technology companies is an asset

• Experience building large scale machine learning solutions for decision-making, planning, reasoning, autonomous driving, operations research, or multi-agent systems is an asset

• Minimum of 2 to 3 years of relevant working experience is required