Company: Amazon
Location: Toronto, ON
Expected salary:
Job date: Tue, 12 Nov 2024 23:06:07 GMT
Job description: DESCRIPTIONAmazon is investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We’re seeking a SDE ML for our Sponsored Products Detail Page Experience and Marketplace Intelligence team to elevate our business to new heights. By developing a profound understanding of shoppers and products, we help shoppers uncover products they’ll adore, provide the most efficient platform for advertisers to reach their customers, and enable Amazon to continually innovate for the benefit of all its customers. As a SDE ML, you will operate across various technologies within the organization. Your responsibilities will include designing, coding, troubleshooting, and supporting scalable machine-learning pipelines and online serving systems. You’ll also work with implementing end-to-end ML solutions and optimizing their performance. Beyond being a passionately motivated individual contributor, you’ll also mentor junior engineers, guiding them to realize their full potential.Key job responsibilities
· Contribute to the technical direction of our offerings and solutions.
· Work with many different technologies across the sponsored products organization.
· Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
· Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
· Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
· Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
· Design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems.
· Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.BASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalent
– Experience in machine learning, data mining, information retrieval, statistics or natural language processingAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Thomson Reuters – Machine Learning Foundational Research Intern – Toronto, ON
Company: Thomson Reuters
Location: Toronto, ON
Expected salary:
Job date: Sat, 09 Nov 2024 23:18:14 GMT
Job description: Machine Learning Foundational Research InternAre you excited about working at the forefront of applied research in an industry setting? is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.What does do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for Thomson Reuters’ Core Research Products, including , , and .About The Role:In This Role As A Machine Learning Foundational Research Intern You Will:Applied Scientists are experts in Machine Learning and NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters’ products. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.
- Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing and delivering high-quality solutions.
- Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
- Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.
- Foundational Research: Evaluate both new models and research techniques that could be used by our AI development teams.
About You:You Are A Fit For The Position of Machine Learning Foundational Research Intern If Your Background Includes:Required Qualifications:
- Current PhD student or recent Master’s graduate in a relevant ML discipline.
- Practical and relevant experience building NLP/IR/ML systems, from ideation to implementation,
- Software engineering skills for model prototyping,
- Proficiency in implementing solutions using Python, DL frameworks, and relevant tools.
- Experience in contributing to a shared codebase.
- Familiarity with workflows for remote development on AWS, Azure or similar
- Data-driven problem-solving and decision-making mindset.
- Curious and innovative disposition capable of proposing outside-the-box solutions.
- Comfortable communicating AI concepts to audiences with diverse technical backgrounds.
Preferred Qualifications:
- Ability to translate academic research into working prototypes and experience identifying novel solutions to solve real-world problems,
- Familiarity with generative AI and large language models (LLMs),
- Familiarity with one, or multiple, of the following concepts: Knowledge Graphs, Training LLMs, Reward Models, Synthetic Data Generation, Evaluating LLMS (i.e. – LLM as a Judge), Legal Tech / Legal Use Case Models, Agentic AI
- Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues are a bonus.
- The preferred length of an internship position is 6-9 months.
#LI-JF1What’s in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and moreSocial Impact: Eight employee-driven Business Resource Groups; Environmental, Social and Governance (ESG) initiatives for local and global impactPurpose-Driven Work: We have a superpower we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.AccessibilityAs a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.Protect yourself from fraudulent job postings to know more.More information about Thomson Reuters can be found on .
Manager, Artificial Intelligence / Machine Learning (AI/ML) and Forecasting – Toronto, Ontario, Canada – Johnson & Johnson – Toronto, ON
Company: Johnson & Johnson
Location: Toronto, ON
Expected salary:
Job date: Wed, 23 Oct 2024 22:03:51 GMT
Job description: Johnson & Johnson is recruiting for a Manager, Artificial Intelligence / Machine Learning (AI/ML) and Forecasting… information clearly and concisely to senior leadership are required. Strong project management skills with the ability to focus…
Manager, Artificial Intelligence / Machine Learning (AI/ML) and Forecasting – Toronto, Ontario, Canada – Johnson & Johnson – Toronto, ON
Company: Johnson & Johnson
Location: Toronto, ON
Expected salary:
Job date: Wed, 23 Oct 2024 03:28:14 GMT
Job description: Johnson & Johnson is recruiting for a Manager, Artificial Intelligence / Machine Learning (AI/ML) and Forecasting… information clearly and concisely to senior leadership are required. Strong project management skills with the ability to focus…
Machine Learning Engineer – Applied AIGC, TikTok Monetization GenAI – – Vancouver, BC
Manager, Machine Learning – Search – Loblaw Digital – Toronto, ON
Company: Loblaw Digital
Location: Toronto, ON
Expected salary:
Job date: Sat, 19 Oct 2024 06:19:26 GMT
Job description: Learning Engineering Manager, you will be at the forefront of innovation, leading the design, development, and implementation… knowledge to continually refine our solutions. As a manager, you will cultivate a collaborative environment where your team…
Pinterest – PhD Machine Learning Internship 2025 (Toronto) – Toronto, ON
Company: Pinterest
Location: Toronto, ON
Expected salary:
Job date: Wed, 16 Oct 2024 22:47:41 GMT
Job description: and artificial intelligence. Throughout your internship, you’ll join our engineering teams as we maneuver through exponential growth… and independently solve moderately complex problems Take proactive ownership over the completion and quality of your tasks and project…
During the internship, you will work with engineering teams to tackle challenges related to artificial intelligence and navigate through rapid growth. You will be expected to independently solve moderately complex problems, take ownership of your tasks, and ensure high-quality project completion.
Amazon – Machine Learning Engineer II, Measurement and Data Science – Toronto, ON
Company: Amazon
Location: Toronto, ON
Expected salary:
Job date: Sat, 12 Oct 2024 05:01:51 GMT
Job description: DESCRIPTIONCome help build ML-based measurement at internet scale. This is a green grass problem without a known answer or a pattern to follow.What you’ll do
You will design, launch, own and evolve software that computes estimated impact of Amazon ads. Hundreds of thousands advertisers will use your work every day to decide where to invest next. You’ll work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches, and iterate on what works best. You’ll help define not only how we compute the estimates, but how do we know we’re right. These are really hard questions that are unique to Amazon, so there isn’t a footprint you can copy. You’ll build petabyte-scale scale measurement pipelines, as well as advance supporting services and frameworks. You’ll get feedback from principal and sr engineers, as well as help junior engineers grow.What we do
We enable advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable and timely conversion measurement for all Amazon ad products. We’re in the early stages of work, where we invent and try a lot of new approaches. We use a combination of machine learning (ML)-based and deterministic techniques to produce the estimates that are fastest in the industry without compromising quality. We constantly invent on our cutting-edge event-driven architectures to stay ahead of growing scale.The charter of this team is focused on computing estimated conversions. We own the math, the algorithms, and the design. We work with a variety of technologies, such as AWS EMR, Batch, Scala, Spark and PyTorch. Science is invented in the same team.What we offer
We are a company of builders who bring varying backgrounds, ideas, and points of view to inventing on behalf of our customers. Our diverse perspectives come from many sources including gender, race, age, national origin, sexual orientation, culture, education, and professional and life experience. We are committed to diversity and inclusion and always look for ways to scale our impact as we grow. You can read more .Amazon has 13 affinity groups, also known as employee resource groups, which bring Amazon employees together across businesses and locations around the world. Some examples include the Black Employee Network (BEN), Amazon Women in Engineering (AWE), and Indigenous@Amazon.Key job responsibilities
design, develop, launch and maintain measurement applications that compute accurate estimates of advertising impact. work with the data to understand advertiser needs and develop most efficient ways of handling it. closely partner with science team on all aspects, from featurization to training to estimating to knowning we’re right. Write code in languages like Scala, Java or Python. Support and improve what you built.BASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Qualcomm – FY25 Intern – Machine Learning Engineering Intern – Canada (16 months) – Markham, ON
Company: Qualcomm
Location: Markham, ON
Expected salary:
Job date: Fri, 11 Oct 2024 00:08:39 GMT
Job description: Job Description:Company: Qualcomm Canada ULCJob Area: Interns Group, Interns Group
Interim Engineering Intern – SystemsQualcomm Overview:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.General Summary:We are searching for a Machine Learning Engineering Intern to be part of the Qualcomm AI Processor team responsible for developing machine learning based applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on new cutting-edge algorithms in the areas of artificial intelligence, machine learning, computer vision and video processing and contribute to research and development of new applications that bring artificial intelligence to mobile and edge devices. The responsibilities include reviewing and understanding the latest developments in the field of artificial intelligence/machine learning, training neural networks to learn new tasks, generating datasets to train AI networks and automating the process of dataset generation, optimizing neural networks to run on Qualcomm Snapdragon processors in real time at low power, quality assessment, testing, competitive analysis and customer support. Successful candidates will work very closely with AI engineers and support them in completing their research and development work.Minimum Qualifications:
- Strong academic records (GPA 3.0 or 72% and better);
- Excellent programming skills in Python, C/C++, Linux and Windows;
- Outstanding marks in math and statistics courses;
- Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence;
- Strong problem-solving skills;
- Effective interpersonal communications skill (written and verbal);
- Analytical, thorough, resourceful and detail-oriented;
- Self-motivated, hardworking, and flexible.
Preferred Qualifications:
- Basic understanding of machine learning, computer vision, video/image processing algorithms and applications is a bonus
- Master’s or PhD students are welcome to apply.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm’s toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact .
Qualcomm – FY25 Intern – Machine Learning Systems Engineering Internship – Canada (16 months) – Markham, ON
Company: Qualcomm
Location: Markham, ON
Expected salary:
Job date: Thu, 10 Oct 2024 06:16:35 GMT
Job description: Job Description:Company: Qualcomm Canada ULCJob Area: Interns Group, Interns Group
Interim Engineering Intern – SystemsQualcomm Overview:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.General Summary:Before there were smartphones or smart cities, before autonomous cars or 360° virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, from IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality.As an Intern on the Qualcomm Machine Learning Systems Team, you will work closely with machine learning software and hardware performance architecture teams working to create and improve ML compilers for Qualcomm chips. The team also creates, deploys, and uses performance-driven simulation components for analysis and design of ML FW, SW and HW. This opportunity will utilize and strengthen the candidates’ SW and HW knowledge skill set. KEY RESPONSIBILITIES: 1. Compile neural networks to Qualcomm hardware, then analyze results and prototype algorithms to improve compilers and/or HW. 2. Create simulation models using Python, C, C++ to analyze the performance of neural networks on Qualcomm hardware 3. Run, debug, and analyze performance simulations and suggest enhancements to Qualcomm software and hardware to tackle bottlenecks due to computing and system memory hierarchy4. Improve Qualcomm’s compiler stack that takes ML/AI models, and runs them efficiently on our ML/AI accelerator.Programming Languages:· C/C++ PythonMinimum Qualification:· Python or C++· Detail-oriented with strong analytical and debugging skillsPreferred Qualifications:· Effective communication skills (written and verbal)· Strong knowledge of Python and/or C/C++ is a strong asset· Strong object-oriented design principles are an asset· Knowledge of software processes (revision control, continuous integration, etc.)· Knowledge in one or more of the following disciplines is preferred: machine learning APIs, convolutional neural networks· Working knowledge of digital circuits and event-driven simulators is an assetEducational Requirements:· In study towards a Bachelors in the following:Electrical or Computer Engineering Computer Science or Mathematics Engineering Science, System Design Engineering, or other multi-disciplinary fields· Must be available for at least 12 months. 16 months is strongly preferred.· A transcript is required. Please make sure you upload one.Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm’s toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact .