Company: Huawei
Location: Markham, ON
Expected salary:
Job date: Fri, 28 Mar 2025 01:50:30 GMT
Job description: Huawei Canada has an immediate 4/8 months Internship opening for an AI Efficiency Researcher.About the Team:Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company’s products and services, including LLMs, RL, NLP, computer vision, AI theory and Autonomous driving.About the Job:Engage in cutting-edge research on AI system optimization, with a focus on enhancing performance on edge devices.Research and develop efficient algorithms and models to minimize the computational and storage overhead on edge devices.Explore and implement AI model optimization techniques tailored to specific hardware platforms, such as model quantization, pruning, and distillation optimization.Evaluate and analyze the performance of optimized AI models in real-world application scenarios.Collaborate with team members to solve technical challenges and contribute to academic paper writing and publication.About the Ideal Candidate:Currently enrolled in a PhD program in Computer Science, Electrical Computer Engineering, Artificial Intelligence, or a related field.Strong foundation in mathematics and programming skills.Knowledge of deep learning frameworks, TensorFlow and PyTorch, with practical experience in Transformer architecture.Proficiency in common AI model optimization techniques, such as model quantization, pruning, and distillation.Familiarity with edge device development, such as mobile platforms and embedded systems.Strong programming skills in Python, C/C++, and other relevant languages.Experience with optimizing and deploying large language models is an asset; Publications in top-tier academic conferences or journals are assets.Excellent communication and teamwork skills; strong independent thinking and problem-solving abilities.
Huawei – PhD Intern – Motion Perception Researcher – Markham, ON
Company: Huawei
Location: Markham, ON
Expected salary:
Job date: Sat, 22 Mar 2025 01:14:36 GMT
Job description: Huawei Canada has an immediate 4/8 months Internship opening for a Motion Perception Researcher.About the Team:Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company’s products and services, including LLMs, RL, NLP, computer vision, AI theory and Autonomous driving.About the Job:Conduct literature reviews on human movement perception and control, vestibular physiology, and related fields.Assist in the design and execution of experiments involving human subjects or relevant simulations.Collect and analyze physiological data from sensors, motion capture systems.Develop and implement algorithms for motion analysis, sensory integration, or human movement prediction.Develop and contribute to Mobile application development.Prepare and present research findings in meetings and reports.Assist in the preparation of manuscripts for publication.About the Ideal Candidate:Currently enrolled in a PhD program in neuroscience, biomedical engineering, computer science, human factors, kinesiology or related field.Strong background in physiology, particularly vestibular function, or related fields.Proficiency in Python, C/C++, MATLAB and experience with mobile app development.Experience with data analysis and statistical software.Excellent written and verbal communication skills.Ability to work independently and collaboratively in a research environment.Strong interest in human movement perception and control.
Autodesk – Intern (PhD), Physics-informed Machine Learning, Fall 2025 – Ontario
Company: Autodesk
Location: Ontario
Expected salary:
Job date: Fri, 18 Apr 2025 04:23:01 GMT
Job description: Job Requisition ID #25WD85512Position OverviewThe Simulation, Optimization and Systems (SOS) Group at Autodesk Research is looking for a passionate and skilled research intern for Fall 2025 at our Toronto office located in the MaRS Discovery District. The ideal intern will conduct research and develop prototype code to combine machine learning with computational tools for analyzing air flow and heat transfer in building environments.ResponsibilitiesResearch on energy analysis tools for natural ventilation and their parameterization using CFD simulations.Conduct original research in developing or applying novel techniques in physics-informed machine learning.Implement prototypes to test and demonstrate the ideas and methodsWork with both open-source libraries and in-house libraries to develop the prototypesWrite documentation of the work, either as academic publication or internal white paperContribute to the technical expertise of the SOS Group by conducting learning sessionsMinimum QualificationsCurrently pursuing a PhD degree in Engineering, Physics, Mathematics, Computer Science, or other related disciplinesExperience with data-driven methods in simulationExperience with development of physics simulation tools and numerical solversExperience with AI model training and ecosystems (PyTorch, TensorFlow, Flax etc)Experience and excellent knowledge of PythonExperience in publishing at top-tier conferences and journalsAbout the Canada Intern ProgramThe 2025 Canada Internship program runs for 16 weeks (September 2 – December 19, 2025). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk’s Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.Learn MoreAbout Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:
Autodesk – Intern (PHD), Physics-informed Machine Learning – Ontario
Company: Autodesk
Location: Ontario
Expected salary:
Job date: Fri, 18 Apr 2025 07:57:45 GMT
Job description: Job Requisition ID #25WD85512Position OverviewThe Simulation, Optimization and Systems (SOS) Group at Autodesk Research is looking for a passionate and skilled research intern for Fall 2025 at our Toronto office located in the MaRS Discovery District. The ideal intern will conduct research and develop prototype code to combine machine learning with computational tools for analyzing air flow and heat transfer in building environments.ResponsibilitiesResearch on energy analysis tools for natural ventilation and their parameterization using CFD simulations.Conduct original research in developing or applying novel techniques in physics-informed machine learning.Implement prototypes to test and demonstrate the ideas and methodsWork with both open-source libraries and in-house libraries to develop the prototypesWrite documentation of the work, either as academic publication or internal white paperContribute to the technical expertise of the SOS Group by conducting learning sessionsMinimum QualificationsCurrently pursuing a PhD degree in Engineering, Physics, Mathematics, Computer Science, or other related disciplinesExperience with data-driven methods in simulationExperience with development of physics simulation tools and numerical solversExperience with AI model training and ecosystems (PyTorch, TensorFlow, Flax etc)Experience and excellent knowledge of PythonExperience in publishing at top-tier conferences and journalsLearn MoreAbout Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:
Huawei – PhD Intern – AI Efficiency Researcher – Markham, ON
Company: Huawei
Location: Markham, ON
Expected salary:
Job date: Fri, 28 Mar 2025 05:41:08 GMT
Job description: Huawei Canada has an immediate 4/8 months Internship opening for an AI Efficiency Researcher.About the Team:Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company’s products and services, including LLMs, RL, NLP, computer vision, AI theory and Autonomous driving.About the Job:Engage in cutting-edge research on AI system optimization, with a focus on enhancing performance on edge devices.Research and develop efficient algorithms and models to minimize the computational and storage overhead on edge devices.Explore and implement AI model optimization techniques tailored to specific hardware platforms, such as model quantization, pruning, and distillation optimization.Evaluate and analyze the performance of optimized AI models in real-world application scenarios.Collaborate with team members to solve technical challenges and contribute to academic paper writing and publication.About the Ideal Candidate:Currently enrolled in a PhD program in Computer Science, Electrical Computer Engineering, Artificial Intelligence, or a related field.Strong foundation in mathematics and programming skills.Knowledge of deep learning frameworks, TensorFlow and PyTorch, with practical experience in Transformer architecture.Proficiency in common AI model optimization techniques, such as model quantization, pruning, and distillation.Familiarity with edge device development, such as mobile platforms and embedded systems.Strong programming skills in Python, C/C++, and other relevant languages.Experience with optimizing and deploying large language models is an asset; Publications in top-tier academic conferences or journals are assets.Excellent communication and teamwork skills; strong independent thinking and problem-solving abilities.
Huawei – PhD Intern – Motion Perception Researcher – Markham, ON
Company: Huawei
Location: Markham, ON
Expected salary:
Job date: Sat, 22 Mar 2025 08:56:11 GMT
Job description: Huawei Canada has an immediate 4/8 months Internship opening for a Motion Perception Researcher.About the Team:Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company’s products and services, including LLMs, RL, NLP, computer vision, AI theory and Autonomous driving.About the Job:Conduct literature reviews on human movement perception and control, vestibular physiology, and related fields.Assist in the design and execution of experiments involving human subjects or relevant simulations.Collect and analyze physiological data from sensors, motion capture systems.Develop and implement algorithms for motion analysis, sensory integration, or human movement prediction.Develop and contribute to Mobile application development.Prepare and present research findings in meetings and reports.Assist in the preparation of manuscripts for publication.About the Ideal Candidate:Currently enrolled in a PhD program in neuroscience, biomedical engineering, computer science, human factors, kinesiology or related field.Strong background in physiology, particularly vestibular function, or related fields.Proficiency in Python, C/C++, MATLAB and experience with mobile app development.Experience with data analysis and statistical software.Excellent written and verbal communication skills.Ability to work independently and collaboratively in a research environment.Strong interest in human movement perception and control.
Meta – Research Scientist Intern, Interactive Physics Simulations (PhD) | Stagiaire en recherche scientifique, Simulations interactives de physique (PhD) – Toronto, ON
Company: Meta
Location: Toronto, ON
Expected salary:
Job date: Fri, 07 Mar 2025 02:21:45 GMT
Job description: Research Scientist Intern, Interactive Physics Simulations (PhD) | Stagiaire en recherche scientifique, Simulations interactives de physique (PhD)Toronto, ON • InternshipMetaInternship – PhDResearchFacebook Reality LabsResearchMeta Reality Labs Research is looking for an intern to help us develop the next generation interactive physics simulators for MR and VR applications. In particular, we are seeking candidates who have experience with physics simulations, computational mechanics, and computer graphics, along with experience in machine/deep learning methods to devise acceleration strategies to bring high-fidelity simulations to real time. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks. Meta Reality Labs Research recherche un stagiaire pour nous aider à développer la nouvelle génération de simulateurs de physique interactifs pour les applications MR et VR. Nous recherchons en particulier des candidats ayant une expérience en simulation physique, mécanique informatique et infographie, ainsi qu’une expérience dans les méthodes d’apprentissage profond afin de concevoir des stratégies d’accélération pour réaliser des simulations haute-fidélité en temps réel. La durée de nos stages est de douze (12) à vingt-quatre (24) semaines et les dates de début varient tout au long de l’année. Certains projets peuvent nécessiter un minimum de 16 semaines consécutives.Research Scientist Intern, Interactive Physics Simulations (PhD) | Stagiaire en recherche scientifique, Simulations interactives de physique (PhD) ResponsibilitiesDevelop, implement, and test novel numerical methods for the interactive simulation of soft deformable bodies, fluids and physics-based sound to enable realistic virtual interactions. | Développer, mettre en œuvre et tester de nouvelles méthodes numériques pour la simulation interactive de corps mous déformables, de fluides et de sons basés sur la physique pour permettre des interactions virtuelles réalistes.Develop and implement numerical methods for numerical optimization, numerical linear algebra, numerical PDEs and AI/ML, as well as performing analysis on these methods. | Développer et réaliser des méthodes numériques pour l’optimisation numérique, l’algèbre numérique linéaire, les EDP numériques et l’IA/l’apprentissage automatique, ainsi qu’effectuer des analyses sur ces méthodes.Implement and optimize the methods devised in a larger software infrastructure, and collaborate with research scientists and software engineers to build demos and experiences based upon the developed tools. | Réaliser et optimiser les méthodes conçues dans une infrastructure logicielle plus large, et collaborer avec des chercheurs et des ingénieurs en logiciel afin de créer des démonstrations et des expériences basées sur les outils développés.Minimum QualificationsCurrently is in the process of obtaining a PhD in computer science, computer graphics, computational mechanics, machine learning, computational mathematics or a relevant technical field. | Actuellement en cours d’obtention d’un doctorat en informatique, infographie, mécanique informatique, apprentissage automatique, mathématiques informatiques ou dans un domaine technique pertinent.Research skills involving defining problems, exploring solutions, and analyzing and presenting results. | Compétences en matière de recherche comprenant la définition des problèmes, l’exploration des solutions, l’analyse et la présentation des résultats.Experience implementing numerical methods and/or deep learning models in a large-scale code. | Expérience dans la réalisation des méthodes numériques et/ou des modèles d’apprentissage profond dans un code à grande échelle.Proficient in C++ and/or Python. | Maîtrise du langage C++ et/ou Python.Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment. | Doit obtenir un permis de travail dans le pays d’emploi au moment de l’embauche et maintenir ce permis durant l’emploi.Preferred QualificationsProven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as SIGGRAPH, NeurIPS, ICML, ICLR, or similar. | Une expérience avérée dans l’obtention de résultats significatifs, démontrée par des subventions, bourses, brevets, ainsi que par des publications en tant que premier auteur lors d’ateliers ou de conférences de premier plan tels que SIGGRAPH, NeurIPS, ICML, ICLR, ou similaires.Experience with high performance/parallel computing (e.g. CUDA). | Expérience en calcul haute performance/parallèle (par exemple CUDA).Experience with training deep learning models and familiarity with tools like PyTorch. | Expérience dans la formation des modèles d’apprentissage profond et familiarisation avec des outils tels que PyTorch.Experience with game engines (e.g. Unreal Engine). | Expérience avec les moteurs de jeu (par exemple Unreal Engine).Experience working and communicating cross functionally in a team environment. | Expérience de travail et de communication interfonctionnelle dans un environnement de travail en équipe.Intent to return to degree program after the completion of the internship/co-op. | L’intention de rejoindre le programme d’études après avoir terminé le stage/la coopérative.Availability for minimum 16 consecutive week internship. | Disponibilité pour un stage d’au moins 16 semaines consécutives.For those who live in or expect to work from California if hired for this position, please click for additional information.About MetaMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta développe des technologies qui aident les gens à se connecter, à trouver des communautés et à développer des entreprises. Lorsque Facebook a été lancé en 2004, il a changé la façon dont les gens se connectent. Des applications comme Messenger, Instagram et WhatsApp ont permis à des milliards de personnes dans le monde de s’émanciper. Aujourd’hui, Meta dépasse les écrans 2D pour se tourner vers des expériences immersives comme la réalité augmentée et virtuelle, afin de contribuer à la prochaine évolution de la technologie sociale. Les personnes qui choisissent de bâtir leur carrière en œuvrant avec nous chez Meta contribuent à façonner un avenir qui nous mènera au-delà de ce que la connexion numérique rend possible aujourd’hui – au-delà des contraintes des écrans, des limites de la distance, et même des règles de la physique.6 240 $CA/month to 9 946 $CA/month + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta.Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .Meta s’engage à fournir un soutien raisonnable (appelé accommodements) à travers nos processus de recrutement pour les candidats handicapés, souffrant de difficultés de longue durée, de problèmes de santé mentale ou neurodivergents et aux candidats ayant des croyances religieuses sincères ou nécessitant un soutien lié à la grossesse. Si vous avez besoin d’aide, veuillez contacter .Apply for this jobTake the first step toward a rewarding career at Meta.APPLY NOWFind your roleExplore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.CareersFollow usCareer programsTeamsWorking at MetaMy accountAbout usEqual Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the
Stripe – PhD, Data Scientist Intern – Toronto, ON – Chicago, IL
Company: Stripe
Location: Toronto, ON – Chicago, IL
Expected salary:
Job date: Sat, 15 Feb 2025 07:38:40 GMT
Job description: Who we areAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies-from the world’s largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.About the teamOur Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.What you’ll doAbout the internship experienceOur internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.Each intern has a dedicated mentor, and every intern project is part of the team’s roadmap that will directly contribute to Stripe’s mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.We’re not just focused on your immediate contributions; we’re invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.ResponsibilitiesYou will:
- Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
- Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
- Influence business actions and strategy by developing actionable insights through metrics and dashboards.
- Drive the collection of new data and the refinement of existing data sources.
- Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
- Present your work to the Data Science team, partner teams, and fellow interns
Who you areMinimum requirementsWe’re looking for someone who has:
- Enrolled in a quantitative PhD program (e.g. Mathematics, Science, Engineering, Economics, Statistics, or Computer Science) with the expectation of graduating in winter 2025 or spring/summer 2026
- Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
- Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred qualificationsYou also likely have:
- Experience writing and debugging data pipelines
- Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
- Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
**This role is not eligible for hire in the Greater Seattle Area, San Francisco Bay Area, or New York City. We are hiring these positions in Chicago, IL or Toronto, Ontario, Canada.Hybrid work at StripeOffice-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.Pay and benefitsThe annual US base salary range for this role is $161,200 – $161,200. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.Office locationsToronto, or ChicagoTeamData & Data ScienceJob typeIntern
Huawei – Intern Research Scientist – AI Software Development (PhD) – Markham, ON
Company: Huawei
Location: Markham, ON
Expected salary:
Job date: Fri, 18 Oct 2024 00:05:59 GMT
Job description: Our team has an immediate internship opening for a Research Scientist.Responsibilities:
- Develop novel solutions and perform extensive evaluation of prototypes contributing to Huawei’s next-generation products, including but not limited to smartphones, smart watches, smart eyewear, laptops, tablets, TVs, and smart devices.
- Idea generation with research mentors, review literature and existing solutions of a challenging real-world research problem.
- Present research outcomes to internal and/or external audiences.
- Collaborate with researchers and product teams to implement research findings into products.
What you’ll bring to the team:
- Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, or relevant technical field.
- Experience in digital signal processing fundamentals, such as time-frequency analysis, convolutions and filtering.
- Research and/or work experience in Machine Learning or Deep Learning.
- Experience with Deep Learning software for Python, e.g. PyTorch, HuggingFace, or TensorFlow.
- Experience with designing and overseeing human-subject experiments, particularly involving human-computer interaction.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ICASSP, INTERSPEECH, ICML, ICLR, NeurIPS, ACL, EMNLP, POPL, or similar is an asset.
#LI-HC1
Huawei – Intern Research Scientist – AI Software Development (PhD) – Markham, ON
Company: Huawei
Location: Markham, ON
Expected salary:
Job date: Fri, 18 Oct 2024 01:55:59 GMT
Job description: Our team has an immediate internship opening for a research scientist.Responsibilities:
- Develop novel solutions and perform extensive evaluation of prototypes contributing to Huawei’s next-generation products, including but not limited to smartphones, smart watches, smart eyewear, laptops, tablets, TVs, and smart devices.
- Idea generation with research mentors, review literature and existing solutions of a challenging real-world research problem.
- Present research outcomes to internal and/or external audiences.
- Collaborate with researchers and product teams to implement research findings into products.
What you’ll bring to the team:
- Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, or relevant technical field.
- Experience in digital signal processing fundamentals, such as time-frequency analysis, convolutions and filtering.
- Research and/or work experience in Machine Learning or Deep Learning.
- Experience with Deep Learning software for Python, e.g. PyTorch, HuggingFace, or TensorFlow.
- Experience with designing and overseeing human-subject experiments, particularly involving human-computer interaction.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ICASSP, INTERSPEECH, ICML, ICLR, NeurIPS, ACL, EMNLP, POPL, or similar is an asset.
#LI-HC1