Entry level machine learning • burnaby bc
Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact Workday'... Show more
This hands-on Machine Operator role plays a critical part in the production process by operating and rotating between multiple machines that season, pack chips, and pack bags into boxes.You will mo... Show more
White Spot Hospitality is proud to be recognized with the platinum status designation as one of Canada’s Best Managed Companies, one of Canada’s top 150 iconic brands and is one of BC’s Most Loved ... Show more
Reporting to Director, Data, the AI and Machine Learning Engineer is responsible for designing, building, and operating production grade machine learning systems that deliver measurable business ou... Show more
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you.We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to h... Show more
Beatdapp is a company delivering the most advanced streaming integrity technology in the world.One of our ventures is building machine learning inference systems for audio at scale.The work spans m... Show more
Our client is seeking a talented and agile Learning Designer to join their Product Operations team.The Product Operations division's mandate is to transform the brand's product operating model, red... Show more
We are looking for a Machine Learning Engineer on the Data Intelligence team which is part of Amazon Customer Service (CS) team, you will design and build robust, scalable AI/ML systems and infrast... Show more
Entry Level Sales Representative.Vancouver Students — Launch Your Career This Summer with Real Sales Experience.This is a chance to develop professional skills that hiring managers actually l... Show more
Are you looking for a career that allows you to make a positive impact while building a stable future for yourself?.We are part of a well-established supplemental benefits organization that has sup... Show more
Vitacore was founded in 2020 with a mission to strengthen Canada’s domestic manufacturing capabilities during a critical time of need.But our vision has always been bigger than any single challenge... Show more
DarkVision is seeking a hands-on Engineering Manager to lead our ML Platform and Infrastructure team.You will be responsible for the strategic planning, architecture, and reliability of the compute... Show more
You have a post-secondary degree or diploma, preferably in Learning & Development, Adult Education, Business Administration, Human Resources, Hospitality or a related field.You have 2–4 years of ex... Show more
Entry Level Sales Representative.We want someone who flourishes in a collaborative team environment and excels when driven by goals.This isn't just another job! As we continue to grow and adapt in ... Show more
We are working with a global networking leader driving a fundamental shift in how businesses manage networks.There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge ... Show more
As a Principal Machine Learning Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents.Working within a small, senior, cross-functional... Show more
Your Opportunity at ARC’TERYX:.ARC’One, our manufacturing facility in New Westminster, is home to a team of skilled makers and technicians who bring Arc’teryx products to life.Located near our Desi... Show more
About the Role
What you will do:
Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact Workday's core enterprise applications.
End-to-End Ownership: Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, optimization, and continuous monitoring in a high-scale production environment.
Cross-Functional Collaboration: Partner closely with Data Scientists, Software Engineers, Product Managers, and UX Designers to translate complex business problems into robust AI solutions.
Drive Technical Excellence: Establish and advocate for engineering best practices, robust MLOps processes, and highly optimized code.
Mentorship & Leadership: Guide and mentor junior engineers, conduct code and architecture reviews, and help shape the technical roadmap for your team.
Champion Responsible AI: Ensure all models adhere to Workday's strict standards for data privacy, security, fairness, and ethical AI practices.
About You
Basic Qualifications
Experience: 7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP.
Programming Mastery: Expert-level proficiency in Python and strong software engineering fundamentals (data structures, algorithms, object-oriented design).
ML Frameworks: Deep hands-on experience with industry-standard machine learning and deep learning libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face).
Production Deployment: Proven track record of taking ML models out of research/notebook environments and deploying them into scalable, high-traffic production systems.
Cloud & Infrastructure: Solid experience with cloud computing platforms (AWS or GCP) and modern infrastructure tools (Docker, Kubernetes).
Education: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related highly quantitative field (or equivalent practical experience).
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 .
Primary Location: CAN.ON.TorontoPrimary CAN Base Pay Range: $156,000 - $234,000 CADAdditional CAN Location(s) Base Pay Range: $156,000 - $234,000 CAD
