Applied AI Engineer

Spin Master; Toronto; On-site; CAD 150,000 - 240,000; Full time

Job summary

Join a leading children's toy and entertainment company as an Applied AI Engineer. In this role, you'll leverage AI and machine learning to drive business solutions, collaborating across teams to enhance data-driven decision-making and develop innovative AI products. Enjoy ample growth opportunities in a fast-paced, fun environment. Ideal candidates will have strong programming skills and a background in AI engineering.

Benefits

Growth and Career Opportunities

Flexible Work Hours

Comprehensive Benefits

Innovative and Collaborative Environment

Qualifications

• At least 1 year working on Gen AI or Agentic AI projects.
• Experience in building and training ML models.
• Strong programming skills in Python and familiarity with AI tools.

Responsibilities

• Apply AI, machine learning, and data science techniques.
• Collaborate with Data Engineers and Data Scientists.
• Develop NLP/AI-powered tools and models.

Skills

Python

Machine Learning

Data Engineering

NLP

AI Solutions Deployment

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Google Cloud AI tools

Power BI

Job description

Join to apply for the Applied AI Engineer role at Spin Master

Join to apply for the Applied AI Engineer role at Spin Master

Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.

Are you a kid at heart looking to build a career with a leading global children's toy, entertainment and digital gaming company?

At Spin Master, our unwavering commitment to open mindedness, integrity and innovation is a great part of what has made us an industry leader. How do we stay ahead of the pack? By hiring the best and brightest minds—and that’s why we want you!

Job Description

What will you work on?

You will work closely with cross-functional teams to apply AI, machine learning, and data science techniques to solve high-impact problems in areas of product management, consumer insights, marketing, and revenue growth management.

You will be responsible for understanding business requirements and collaborating closely with our Data Engineers and Data Scientists to improve our data pipelines. Your goal will be to ensure the data is clean, accurate, and optimized for building machine learning models that can ultimately be integrated into Generative AI and Agentic AI workflow-based solutions aimed at delivering scalable analytical solutions and decision-making tools.

How will you create impact?

• Architect and implement reusable frameworks for data ingestion, prompt/feature engineering, model training, and deployment of AI/ML solutions.
• Build and operationalize ML models for forecasting, segmentation, optimization, and anomaly detection.
• Develop NLP/AI-powered tools using Generative AI and Agentic AI frameworks to support self-service analytics and decision-making.
• Collaborate with business stakeholders and within the team to identify opportunities for automation and intelligent process redesign.
• Design intuitive AI products and APIs that enable non-technical users to interact with data and models to support decision-making.
• Ensure alignment with MLOps best practices: version control, CI/CD pipelines, monitoring, and retraining workflows.
• Maintain high standards of data integrity, security, and governance across all tools and models.
  
  

What are your skills and experience?

• Experience in AI/ML engineering, with at least 1 year working on Gen AI or Agentic AI projects.
• Strong programming skills in Python; experience with LangChain, LLM APIs (OpenAI, Claude, Vertex AI PaLM), and ML libraries (scikit-learn, TensorFlow, PyTorch). Familiarity with Google Cloud AI tools such as Vertex AI, BigQuery ML, and Dialogflow for deploying scalable AI solutions.
• Deep knowledge of data engineering principles and tools (e.g., dbt, Airflow, Spark, BigQuery).
• Experience in enterprise analytics tools (Power BI, Looker, Tableau) and how to integrate ML outputs.
• Experience in building and training/retraining ML models to maintain accuracy and business relevance of results.
• Experience deploying AI solutions in production environments, including building APIs and microservices.
• Experience with chatbot/agent frameworks and orchestration tools.
  
  

Great To Have

• Experience in ingesting and modeling data in BigQuery to solve business problems.
• Familiarity with vector databases (e.g., Pinecone, FAISS, ChromaDB) and RAG-based architectures.
• Experience working on AI/ML solutions in the CPG industry.
• Strong communication and UX sensibility when building tools for business users.
  
  

Please note this is an on-site position that requires a minimum of 4 days in office

What You Can Expect From Us

Our mission is to Make Life More Fun with a vision to push the boundaries of innovation, creativity, and fun.

• Growth and Career Opportunities
• Flexible Work Hours
• Innovation, Collaboration and Fun
• Comprehensive Benefits
• Other fun Perks!
  
  

What’s it like to work here?

Spin Master is a fast-paced, hands-on organization that provides many great opportunities for impactful decision-making; though our challenging start-up atmosphere isn’t for everyone, we have a proven record of opportunities for future advancement and internal transfers for our passionate and results driven team.

Everyone is welcome in our sandbox and we are committed to an accessible and inclusive hiring process that provides reasonable accommodation to all applicants.

Spin Master strives to create an accessible and inclusive application and selection process and is committed to working with and providing reasonable accommodation to job applicants who may require provisions to participate in the recruitment, selection and/or assessment processes. Should you require an accommodation, please contact our Talent Acquisition team, by email at [e-mail] or by phone at 416 364-6002 and we will work with you to meet your accessibility needs.

Follow us on Instagram and Twitter @SpinMaster to stay up to date on Spin Master career opportunities.

We do appreciate all interest; however only those selected for interview will be contacted.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Manufacturing

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