Sr. M/L Developer
Location: Canada
Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.
About the opportunity
We are looking for a Senior ML Developer to join the team that is building Dayforce AI Assistant that is at the spotlight across our features. The Sr. ML Developer has an opportunity to join a team of strong developers and work on a high visibility and high impact product - you will change the way millions of customers globally interact with our product on a day-to-day basis across 150+ countries. The ideal candidate has strong technical skills and a desire to keep up to date with advances in big data technologies.
Your impact will be evident through your effective participation in the entire lifecycle of our software including design, analysis, prototyping, development, testing and support of our products. You will work closely and collaborate with clients, prospects, implementation partners, and Dayforce personnel to envision and deliver the required functionality.
What you'll get to do
- Develop and implement overall programming including frontend, middle tier and backend solutions in React, Python and a potential mix of databases including SQL, Delta Tables and others
- Develop and implement machine learning models and algorithms that meet business needs and requirements
- Apply machine learning techniques to large datasets to identify trends, patterns, and insights
- Select, fine-tune, and evaluate large language models (LLMs) using domain-specific data to support intelligent product features
- Work with DevOps and MLOps teams to containerize, deploy, and monitor ML components using tools such as Docker, Kubernetes, and model registries
- Participate in research and development of new machine learning techniques and technologies
- Create and manage vector search infrastructure to support semantic search, document retrieval, and memory for LLMs
- Work collaboratively with other developers, data engineers and data scientists to build data pipelines and data processing workflows
- Mentor junior machine learning engineers and provide technical leadership in the team
- Stay up-to-date with the latest developments in machine learning and AI technologies and their applications
AI-accelerated engineering (a core & critical part of the job)
- Use AI tools (e.g., Copilot, Claude, GitHub Copilot Agents, IDE agents) to increase throughput across design, implementation, testing, refactoring, and debugging - without compromising correctness, maintainability, or security.
- Establish practical organizational patterns for AI-assisted development:
- AI-assisted scaffolding + human review
- AI-generated test suites and regression harnesses
- Fast refactors with automated verification
- Agentic workflows for repetitive engineering tasks (migrations, API clients, docs, runbooks)
- Apply secure and responsible usage with no sensitive data leakage, strong review discipline, and traceable change sets.
- Help define repeatable AI-enabled engineering practices that improve the speed, quality, and effectiveness of the team and broader organization.
Skills and experience we value
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 6 years of overall development experience
- At least 2+ years of experience in machine learning and AI software development
- Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-Learn
- Experience with cloud platforms such as AWS, GCP, or Azure and their machine-learning services
- Strong understanding of machine learning fundamentals, such as supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing
- Comfortable coding against backend technologies including MSSQL, NoSQL, Delta Tables and related technologies such as GraphQL and Pyspark
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
- Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders
What’s in it for you
Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.
We encourage individuals to apply based on their passions.
Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.
With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.
This job posting is for an existing vacancy
Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.
Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.
Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.
Fraudulent Recruiting
Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud
Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process
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