About Huawei
With 194,000 employees and operating in more than 170 countries and regions, Huawei is a leading global creator and provider of information and communications technology (ICT) infrastructure and smart devices. Integrated solutions span across four key domains – telecom networks, IT, smart devices, and cloud services. Huawei is committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
About Huawei Canada
Huawei Canada focuses on fundamental research and development aimed at solving complex technical problems in emerging technologies like 5G, AI, Human Computer Interaction and Autonomous Driving. With ongoing research initiatives with 10 Universities across Canada and strategic collaboration agreements with several Universities, we support Canada’s rich research community. In 2020, Huawei Canada ranked among the Top 20 corporate R&D investors in the country with a huge 40% increase in R&D investment year over year. Huawei Canada was established in 2008 and now has a total workforce of 1,200 in our six research centers across Canada.
“Huawei will continue to be an important contributor to Canada’s knowledge-based economy,” “Openness and diversity are Canada’s great strengths. They help attract global talent and business. Huawei Canada’s R&D spending creates jobs, trains talents, supports fundamental research, and accelerates knowledge-to-impact in Canada. We are proud of all of that.”
Changtian Cai, President, Huawei Canada R&D.
Why work with Huawei Canada?
You will have the opportunity to work on real world problems that impact people across the globe. Many of our researchers are actively involved in publishing conference and journal papers, inventing patents and solving challenging technical problems. With cutting edge tools, access to highly specialized leaders and researchers, and significant funding, you will be well supported to fulfil your potential and pursue your professional dreams.
About Huawei
With 194,000 employees and operating in more than 170 countries and regions, Huawei is a leading global creator and provider of information and communications technology (ICT) infrastructure and smart devices. Integrated solutions span across four key domains – telecom networks, IT, smart devices, and cloud services. Huawei is committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
About Huawei Canada
Huawei Canada focuses on fundamental research and development aimed at solving complex technical problems in emerging technologies like 5G, AI, Human Computer Interaction and Autonomous Driving. With ongoing research initiatives with 10 Universities across Canada and strategic collaboration agreements with several Universities, we support Canada’s rich research community. In 2020, Huawei Canada ranked among the Top 20 corporate R&D investors in the country with a huge 40% increase in R&D investment year over year. Huawei Canada was established in 2008 and now has a total workforce of 1,200 in our six research centers across Canada.
“Huawei will continue to be an important contributor to Canada’s knowledge-based economy,” “Openness and diversity are Canada’s great strengths. They help attract global talent and business. Huawei Canada’s R&D spending creates jobs, trains talents, supports fundamental research, and accelerates knowledge-to-impact in Canada. We are proud of all of that.”
Changtian Cai, President, Huawei Canada R&D.
Why work with Huawei Canada?
You will have the opportunity to work on real world problems that impact people across the globe. Many of our researchers are actively involved in publishing conference and journal papers, inventing patents and solving challenging technical problems. With cutting edge tools, access to highly specialized leaders and researchers, and significant funding, you will be well supported to fulfil your potential and pursue your professional dreams.
About Noah’s Ark Lab:
The Noah’s Ark Lab is the AI research division for Huawei Technologies, with offices in Hong Kong, Shenzhen, Beijing, Shanghai, Xi’an, London, Paris, Toronto, Montreal, and Edmonton. As a world class research lab, we dare to address the most fundamental challenges in AI so as to revolutionize the ways in which people work and live, and the ways in which companies do business for the better. Founded in 2012, the lab has now grown to cover all major areas of contemporary AI research. We welcome talented researchers, engineers and students to join us to realize our shared AI dreams.
We are looking for junior and senior level staff research scientists working in reinforcement learning. This is a rare opportunity to join our team in the Edmonton research center, with opportunities working on challenging but impactful projects both in research and real-world applications, including:
(1) conducting high-quality research in the topics of foundation models, continual learning, multi-task / transfer learning, offline RL, and etc.;
(2) developing prototype applications in autonomous driving, and other complex real-world optimization problems.
We have created a passionate and engaging culture that encourages conducting innovative research, and combing research with engineering to create real-world impacts. By joining our team, you will work closely with other research scientists, research engineers, and research interns 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. Such innovations are expected to 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. Senior research scientists are expected to lead research teams and take part in setting research strategies.
· 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 a plus.
· Experience building large scale machine learning solutions for decision making, planning, reasoning, autonomous driving, operations research, or multi-agent systems a plus for senior level positions.
· Minimum of 2 to 3 years of relevant working experience required for senior level positions
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