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Summer Machine Learning Hardware Jobs in Toronto, ON

Data Engineer, DMP

Oakville, ON · Hybrid

  • Retirement

  • PTO

... summer months! 17 Paid Days Off (in addition to 13 Personal Days) This includes an extra day off ... Accomplished in the use of data analysis and machine learning packages such as pandas, Jupyter, and ...

New

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

Flexible / Hybrid (in-office required for hardware testing; remote otherwise) Type: Full-Time About ... Machine learning or signal analysis * Predictive diagnostics * Data analysis and sensor readout ...

... machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming. * A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and ...

Work closely with machine learning engineers and data engineers to design, build, and test models ... diverse hardware platforms. * Train and evaluate generative models using appropriate metrics and ...

Experience with AI (algorithms, AI-on-chip, AI hardware accelerators), Machine Learning (frameworks such as TensorFlow, CUDA, ONNX, Caffe, etc. preferred), Computer Vision and other Azure Data and AI ...

Sr. AI Engineer

Oakville, ON · On-site

CA$91K - CA$114K/yr

  • Life

  • Retirement

  • PTO

... hardware and software that enables customers and partners to conceptualize, test, and validate ... AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer ...

Sr. AI Engineer

Toronto, ON · On-site

CA$91K - CA$114K/yr

  • Life

  • Retirement

  • PTO

... hardware and software that enables customers and partners to conceptualize, test, and validate ... AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer ...

... machine learning and real-world testing in pilot production. We are currently focused on key ... Evaluate, select, deploy, and administer hardware and software solutions to meet organizational ...

Showing results 21-40

Summer Machine Learning Hardware information

What is the difference between Summer Machine Learning Hardware vs Summer Data Scientist?

AspectSummer Machine Learning HardwareSummer Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of hardware design and programmingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and programming
Work EnvironmentHardware labs, R&D centers, tech companies focusing on AI hardwareOffice settings, research labs, tech companies analyzing data and building models
Industry UsageAI hardware development, embedded systems, hardware acceleration for MLData analysis, predictive modeling, AI application development

Summer Machine Learning Hardware roles focus on designing and optimizing hardware for machine learning applications, requiring technical skills in hardware engineering. In contrast, Summer Data Scientist positions involve analyzing data, building models, and deriving insights. Both roles are essential in AI development but differ in their technical focus and work environment.

2027 | Americas | Toronto | Engineering | Summer Analyst

Goldman Sachs

Toronto, ON

Temporary

Posted 2 days ago

New


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks


Job description


About the program

Our Summer Analyst Program is a nine to ten week summer internship for students pursuing a bachelors / graduate degree. You will be fully immersed in our day-to-day activities.

As a participant, you will:

  • Attend orientation where you'll learn about our culture, as well as the benefits and responsibilities of being a member of the firm
  • Receive training designed to help you succeed
  • Have the opportunity to work on real responsibilities alongside fellow interns and our people
Submitting Your Application
  • Each applicant has the opportunity to apply to up to 4 separate business / location combinations in any given recruiting year. Any additional application will be auto withdrawn. In order to apply to an additional opportunity, you must withdraw a current application that has not been turned down.
  • A single applicant should not create multiple email addresses to apply to additional opportunities 

About the division

Engineering is at the critical center of our businesses. Our dynamic environment requires strategic thinking that is innovative and produces smart solutions. At Goldman Sachs, our Engineers don't just make things - we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?

Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869