Current jobs related to Manager/Senior Manager, Machine Learning Engineering - Toronto, Ontario - Workday
-
Machine Learning Engineer
5 days ago
Toronto, Ontario, Canada Teckhorizon Inc Full timeAbout The RoleOur Client is seeking aSenior Machine Learning Engineerto design, build, and optimize advanced machine learning and deep learning models—primarily withNLP (BERT/Transformers). The ideal candidate has deep technical expertise, strong statistical foundations, and experience developing ML solutions end-to-end, from data preprocessing to model...
-
Senior Manager, Machine Learning
18 hours ago
Toronto, Ontario, Canada BMO Full timeSenior Manager, Machine Learning (individual contributor)ResponsibilitiesSenior Machine Learning Scientist leverages advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for...
-
Senior Manager, Machine Learning
1 day ago
Toronto, Ontario, Canada BMO Full time US$103,200 - US$192,000Application Deadline:12/15/2025Address:33 Dundas Street West Job Family Group:Data Analytics & ReportingSenior Manager, Machine Learning (individual contributor)ResponsibilitiesSenior Machine Learning Scientist leverages advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze...
-
Senior Machine Learning Engineer
2 hours ago
Toronto, Ontario, Canada Vanguard Canada Full timeOverview:We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in...
-
Senior Machine Learning Engineer
1 day ago
Toronto, Ontario, Canada DoorDash Canada Full timeAbout the TeamCome help us build the world's most reliable on-demand logistics engine for last-mile delivery We're seeking an experienced machine learning engineer to develop cutting-edge ML models that power DoorDash's pricing, selection, affordability, and growth strategies.About the RoleWe're looking for a passionate Machine Learning expert to join our...
-
Machine Learning Engineer
1 day ago
Toronto, Ontario, Canada TD Full timeLieu De TravailToronto, Ontario, CanadaHoraire37.5Secteur D'activitéAnalyses, informations et intelligence artificielleDétails De La Rémunération$120,000 - $250,000 CADLes renseignements sur la rémunération publiés tiennent compte d'une prime de marché temporaire propre à ce poste, qui est réévaluée chaque année.La TD a à cœur d'offrir une...
-
Machine Learning Engineer
2 weeks ago
Toronto, Ontario, Canada Flexton Inc. Full timeBelow is the complete job descriptionRole: Machine Learning EngineerLocations: Toronto, Canada Remote, and US remoteMust have languages: Python, SQL, (Scala or Java).Must have skills: PyTorch, Hugging face transformers, Deep Learning, Spark/Hadoop, MLOpsAdditional must haves:Strong communication skills. Must be willing to contribute to team discussions and...
-
Toronto, Ontario, Canada Upwork Full timeUpwork Inc.'s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a...
-
Machine Learning Engineer Intern
2 days ago
Toronto, Ontario, Canada Tenstorrent University Jobs Full timeTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high...
-
Toronto, Ontario, Canada Royal Bank of Canada Full timeJob DescriptionWhat is the opportunity?Join us in shaping the core data and model infrastructure that powers credit decisioning at RBC.RBC Group Risk Management, Retail Credit Strategies and Modeling Infrastructure team, is hiring a Senior Manager, Machine Learning Operations Product Owner with deep data engineering skills to lead the deployment of...
Manager/Senior Manager, Machine Learning Engineering
2 hours ago
Your work days are brighter here.
We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.
About the Team
Agent Factory is where Workday's next chapter gets built. We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI—deeply embedded into Workday's platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You'll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.About the Role
We are seeking a highly skilled and visionary Senior Manager to lead the development of AI agents for our HR and Finance business. You will be responsible for building and mentoring a high-performing engineering team, driving technical excellence and ensuring the delivery of robust, scalable and secure AI agent solutions that seamlessly integrate with our Workday ecosystem and deliver outstanding experiences for our customers.
Responsibilities:
Build, lead, and mentor a team of exceptional AI agent engineers.
Ensure timely project delivery to exceptional standards of our AI agents.
Work closely with product managers, data scientists and other stakeholders to translate business requirements into technical solutions
Collaborate with architects and principal engineers to ensure seamless integration with the Workday platform
Foster a culture of innovation, collaboration and continuous improvement and learning.
Evaluate and integrate cutting-edge AI technologies, including LLMs, RAG, and orchestration frameworks (e.g., LangGraph)
Collaborate with external vendors and open-source communities to leverage best-in-class AI technologies
Ensure all AI solutions adhere to data privacy, security, and compliance standards
Implement robust testing, monitoring and feedback loops to ensure agent performance and reliability
Ensure the scalability, reliability, and security of AI agent solutions within the Workday environment.
About You
Manager:
Basic Qualifications:
1+ years of experience in software engineering leadership, with a strong focus on AI/ML and cloud-based systems.
8+ years of experience with design and development for mission critical systems at scale
Senior Manager:
Basic Qualifications:
5+ years of experience in software engineering leadership, with a strong focus on AI/ML and cloud-based systems.
10+ years of experience with design and development for mission critical systems at scale
Other Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven ability to seek out and hire the highest performing professionals to build cutting edge products built on AI
Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.
Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
Strong problem-solving, communication, and collaboration skills.
Experience with the Workday platform is a strong plus.
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.
Primary Location: CAN.ON.TorontoPrimary CAN Base Pay Range: $184,000 - $276,000 CADAdditional CAN Location(s) Base Pay Range: $184,000 - $276,000 CAD
Our Approach to Flexible Work
With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process
At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.