Applied ML/NLP Researcher
Montréal, QC, Canada
Huawei Technologies Canada Co., Ltd.
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.Company Description
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.
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.
Job Description
You have curiosity, passion and a collaborative spirit? Work with us Noah’s Ark is hiring!
At Huawei Noah's Ark in Montreal, we are a small but growing, dynamic and diverse team driving AI innovation in a large organization with a vast network of R&D centers across the world. Think of us as a startup with the support and benefits of a huge global organization.
Located close to Little Italy and next to a metro station, our Montreal lab is recruiting machine learning developers/researchers for NLP projects in our growing Speech and Natural Language Processing group to program code to demonstrate research proof of Concept and demos.
- Participate in applied and fundamental research projects in Huawei.
- Delivering projects and presenting results.
- Being an independent thinker and autonomous team player with good oral and written communication skills.
- Advance the state of the art in NLP and ML, and publish in top conference in NLP and ML.
Qualifications
- Hold a Master or PhD (preferred) in computer science, software or electric engineering or related subjects.
- Deep understanding of fundamentals and state of the art techniques in NLP and ML.
- Expertise in NLP using machine learning or deep learning.
- Strong coding skills mainly in Python, with a focused expertise in PyTorch.
- Excellent oral and written communication skills.
- You should be curious, like to think outside the box and appreciate complex challenges. Being outside of your comfort zone doesn't throw you off.
Additional Information
Preferred skills:
- Publications in top tier NLP\ML conferences (e.g., ACL, EMNLP, NAACL, EACL, NeurIPS, ICML, etc.).
- Having a strong mathematics or statistics background is a plus.
- Good communication skills: Our projects have a diverse set of stakeholders, many in remote locations, so we are looking for emotional intelligence, flexibility and tolerance. Diversity makes our team and research stronger and better.
- Industry experience in deep learning and NLP.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Autonomous Driving Computer Science Deep Learning EMNLP Engineering ICML Machine Learning Mathematics NeurIPS NLP PhD Python PyTorch R R&D Research Statistics
Perks/benefits: Career development Conferences Startup environment
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