Lead Research Scientist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

We are looking for candidates experienced in reinforcement learning and decision making for both junior and senior level research scientist positions. These roles involve working closely with other research scientists, research engineers, and research interns to design state-of-the-art machine learning algorithms that have the potential to be applied to real world challenges in the domains of autonomous driving, robotics, network control, enterprise supply chain management, data center and cloud facility optimization, consumer electronic devices, recommender systems, and NLP applications, to evaluate them both with common benchmarking suites and with internal simulation environments & date sets, and to publish the research results at top conferences. Senior research scientists are expected to lead research teams and take part in setting research strategies.

Qualifications

• PhD in computer science or related fields with a focus on reinforcement learning & decision making.
• Relevant papers at conferences such as NIPS, ICML, ICLR, RLDM, AAMAS, AAAI, etc.
• Must have experience with Deep Learning and Reinforcement Learning.
• In-depth hands-on experience in Python, C/C++, R, Julia, TensorFlow, PyTorch, MXNet, Keras, etc. and a track record of translating ideas into research prototypes quickly.
• Working or internship experience at industry research labs or technology companies a plus.
• Experience building large scale machine learning solutions for decision making, planning, reasoning, operations research, or multi-agent systems a plus for senior level positions.
• Research leadership experience in decision making and AI research a plus for senior level positions.
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