Research, develop and implement ML models and Search infrastructure for recommendation and ... Experience fine-tuning LLMs for specific learning tasks Experience deploying full-stack features to ...
Research, develop and implement ML models and Search infrastructure for recommendation and ... Experience fine-tuning LLMs for specific learning tasks Experience deploying full-stack features to ...
Senior Machine Learning Engineer
Toronto, ON · Remote
$165K - $225K/yr
This innovation supports the critical evolution from research applications to clinical deployment ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...
Quick apply
Senior Machine Learning Engineer
Toronto, ON · Remote
$165K - $225K/yr
This innovation supports the critical evolution from research applications to clinical deployment ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...
Senior Machine Learning Engineer
Toronto, ON · Remote
$165K - $225K/yr
This innovation supports the critical evolution from research applications to clinical deployment ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...
Quick apply
Senior Machine Learning Engineer
Toronto, ON · Remote
$165K - $225K/yr
This innovation supports the critical evolution from research applications to clinical deployment ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...
Technical Product Owner - AI & Machine Learning Solutions
Toronto, ON · On-site
CA$140K - CA$240K/yr
Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial ...
Technical Product Owner - AI & Machine Learning Solutions
Toronto, ON · On-site
CA$140K - CA$240K/yr
Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial ...
Research Engineer
Toronto, ON · On-site +1
CA$122K - CA$215K/yr
Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Research Engineer
Toronto, ON · On-site +1
CA$122K - CA$215K/yr
Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Machine Learning Engineer, AI Processors (Sr to Staff)
Markham, ON · On-site
$131 - $181/hr
Research, develop, and optimize AI algorithms for deployment on Qualcomm Snapdragon platforms ... Strong background in machine learning algorithms, computer vision, multimodal AI, agentic AI, or ...
Machine Learning Engineer, AI Processors (Sr to Staff)
Markham, ON · On-site
$131 - $181/hr
Research, develop, and optimize AI algorithms for deployment on Qualcomm Snapdragon platforms ... Strong background in machine learning algorithms, computer vision, multimodal AI, agentic AI, or ...
RBC Borealis is at the forefront of artificial intelligence research and development, driving the ... We are looking for a Machine Learning Software Engineer Team Lead for AI Solutions. The role ...
RBC Borealis is at the forefront of artificial intelligence research and development, driving the ... We are looking for a Machine Learning Software Engineer Team Lead for AI Solutions. The role ...
Machine Learning Engineer - Enterprise
CA$150K - CA$400K/yr
Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Machine Learning Engineer - Enterprise
CA$150K - CA$400K/yr
Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Senior Machine Learning Engineer
CA$105K - CA$125K/yr
... assist with data-related technical issues and support their data infrastructure needs. - Create ... The role of a machine learning professional involves applying machine learning techniques and ...
Senior Machine Learning Engineer
CA$105K - CA$125K/yr
... assist with data-related technical issues and support their data infrastructure needs. - Create ... The role of a machine learning professional involves applying machine learning techniques and ...
Senior Machine Learning Engineer
CA$105K - CA$125K/yr
... assist with data-related technical issues and support their data infrastructure needs. - Create ... The role of a machine learning professional involves applying machine learning techniques and ...
Senior Machine Learning Engineer
CA$105K - CA$125K/yr
... assist with data-related technical issues and support their data infrastructure needs. - Create ... The role of a machine learning professional involves applying machine learning techniques and ...
Proven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholders; * Deep expertise in machine learning, statistics, and data ...
Proven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholders; * Deep expertise in machine learning, statistics, and data ...
Machine Learning Engineer II, Core Engineering
Toronto, ON · On-site
$170.84 - $220.84/hr
D. in Machine Learning or related areas * Expertise in scalable real‑time systems that process ... Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging ...
Machine Learning Engineer II, Core Engineering
Toronto, ON · On-site
$170.84 - $220.84/hr
D. in Machine Learning or related areas * Expertise in scalable real‑time systems that process ... Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging ...
The Team The Security Machine Learning Engineer will play a key role in transforming our Security ... Research & Innovation * Stay current on advancements in security data science, adversarial ML, and ...
The Team The Security Machine Learning Engineer will play a key role in transforming our Security ... Research & Innovation * Stay current on advancements in security data science, adversarial ML, and ...
You will collaborate with research and product engineering from various domains including design ... Implement version control systems for machine learning models and contribute to model governance ...
You will collaborate with research and product engineering from various domains including design ... Implement version control systems for machine learning models and contribute to model governance ...
Research Engineer
Toronto, ON · Hybrid
We are seeking a Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data ... Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into ...
Research Engineer
Toronto, ON · Hybrid
We are seeking a Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data ... Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into ...
Senior Manager, Machine Learning
Toronto, ON · On-site
CA$103K - CA$192K/yr
Mathematics, statistics & operations research. * Deep learning. * Machine learning. * Trust, bias and ethics. * Creative thinking. * Critical thinking. * Big data. * Data visualization.
Senior Manager, Machine Learning
Toronto, ON · On-site
CA$103K - CA$192K/yr
Mathematics, statistics & operations research. * Deep learning. * Machine learning. * Trust, bias and ethics. * Creative thinking. * Critical thinking. * Big data. * Data visualization.
Job Requisition ID # 26WD99908 Principal Machine Learning Operations Developer: AI/ML Platform ... You will collaborate with research and product engineering from various domains including design ...
Job Requisition ID # 26WD99908 Principal Machine Learning Operations Developer: AI/ML Platform ... You will collaborate with research and product engineering from various domains including design ...
Direct the development of novel machine learning algorithms and models across one or more domains ... Applied Research & Business Impact: * Partner closely with the VP, AI Research and Innovation team ...
Direct the development of novel machine learning algorithms and models across one or more domains ... Applied Research & Business Impact: * Partner closely with the VP, AI Research and Innovation team ...
You will collaborate with research and product engineering from various domains including design ... Implement version control systems for machine learning models and contribute to model governance ...
You will collaborate with research and product engineering from various domains including design ... Implement version control systems for machine learning models and contribute to model governance ...
CA$140K - CA$225K/yr
Position Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize ...
CA$140K - CA$225K/yr
Position Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize ...
Research Assistant Machine Learning information
See Ontario salary details
$15.26 is the 25th percentile. Wages below this are outliers.
$9.86 - $17.07
33% of jobs
The median wage is $21.21 / hr.
$17.07 - $24.28
29% of jobs
$24.28 - $31.49
9% of jobs
$38.25 is the 75th percentile. Wages above this are outliers.
$31.49 - $38.70
4% of jobs
$38.70 - $45.91
3% of jobs
$45.91 - $53.12
3% of jobs
$53.13 - $60.34
4% of jobs
$60.34 - $67.55
4% of jobs
$67.55 - $74.76
4% of jobs
$74.76 - $81.97
3% of jobs
$81.97 - $89.18
2% of jobs
$9
$34
$89
How much do research assistant machine learning jobs pay per hour?
What is a research assistant machine learning?
A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.
What types of projects might a research assistant machine learning typically work on?
As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.
What are the key skills and qualifications needed to thrive as a research assistant machine learning?
To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.
What are popular job titles related to Research Assistant Machine Learning jobs in Ontario?
For Research Assistant Machine Learning jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Ontario look for?
The top searched job categories for Research Assistant Machine Learning jobs in Ontario are:
What cities in Ontario are hiring for Research Assistant Machine Learning jobs?
Cities in Ontario with the most Research Assistant Machine Learning job openings:

Adobe rating
8.9
Based on 10 frontline employees who took The Breakroom Quiz
39th of 245 rated software companies
Job description
AI-powered Recommendations, Search, and Generative AI-based guidance is a core part of Adobe's Cloud offering. Adobe Cloud enables customers to create and generate digital content, and Digital experiences. The Search, Discovery, and Content AI Team drives customer success for Adobe Express, Creative Cloud, and Document Cloud. Creative professionals and novice users need the quick discovery of digital assets from brushes to colors, images, videos, and beyond. They also need AI-powered assistance to discover the ingredients needed to complete their creative journey at scale.
We are building next-generation Agentic Recommendation features across Adobe's product lines. This includes novel context-based recommendations for creation tasks, full-stack features like developing creative artifacts from user input (e.g., user images, documents or QR codes), and next-generation content intelligence powering these features using personalization, style understanding, and innovative retrieval of assets at scale.
How can you participate?
We focus on developing innovative AI-powered search, recommendations, and assistive experiences using generative AI technologies across all modalities, including text, image, and videos, and create industry-leading experiences to improve creative efficiency for creators, marketers, and designers. We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring, and creating inventive AI technologies. This is an opportunity to make a huge impact in a fast-paced environment in a great company. Join us!
Expectations :
Research, develop and implement ML models and Search infrastructure for recommendation and retrieval use cases
Background in recommendations and search. Knowledge of bandits, NLP, and/or content intelligence models.
Proficiency in Python. Additional experience in Java preferred.
Experience fine-tuning LLMs for specific learning tasks
Experience deploying full-stack features to users in the areas of recommendations and/or search
Develop robust methods to evaluate features using LLMs, ensuring ethical AI practices that reflect Adobe's standards
Masters' degree or PhD in computer science, statistics, engineering, or other relevant subject area highly preferred
3+ years of relevant experience required
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
About Adobe
Sourced by ZipRecruiter
Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.
Industry
Computer and computer peripheral equipment and software wholesalers
Company size
10,000+ Employees
Headquarters location
San Jose, CA, US
Year founded
1982