Department: Technology

Location: Abbotsford, BC

Compensation: $100,000 - $120,000 / year

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• Most new team members typically join in the lower to mid-point of the salary range. We’re committed to fair and equitable compensation and regularly review salaries to ensure they reflect both market conditions and individual growth within the role.
  
  

• Design, train, and evaluate machine learning models for a variety of applications, with a focus on recommendation systems and deep learning architectures.
• Package models for deployment using scalable, reproducible, and maintainable practices (e.g., ML pipelines, containerization).
• Leverage frameworks such as PyTorch, TensorFlow, and scikit-learn to build performant solutions.
• Collaborate with product teams to translate business goals into machine learning solutions.

• Develop and maintain CI/CD pipelines for ML models, including monitoring, versioning, and rollback strategies.
• Use cloud platforms (AWS, GCP, Azure) to build and scale ML infrastructure.
• Integrate models into production services and monitor real-world performance, reliability, and drift.

• Collaborate with data engineers to access, clean, and transform data for ML use cases.
• Design and implement A/B tests and other evaluation strategies to measure model impact.
• Contribute to internal tooling for reproducibility, tracking, and experiment management.

• Work cross-functionally with product managers, designers, analysts, and software engineers to deliver data-driven features and products.
• Stay current with advancements in ML and AI, bringing innovative ideas and techniques to the team.
• Participate in peer reviews, knowledge-sharing sessions, and planning meetings.

• You have experience with music production, music education or performance.
  
  

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 3+ years of experience in AI/ML engineering, with a strong understanding of deep learning frameworks (TensorFlow, PyTorch, etc.).
• Proficiency in Python and experience with data processing, training, and deploying models.
• Hands-on experience with LLMs, recommendation systems, or speech/audio processing.
• Strong problem-solving skills and ability to work cross-functionally with product and creative teams.
• Experience deploying AI models into production (cloud services such as AWS, GCP, or Azure).
• Proficiency in the English language (written and verbal)
• Ability to exhibit the Company's Core Values: Empathy, Passion, and Grit (see full description).
  
  

• Extended Benefits. Health, Prescriptions, Dental, Mental Health Support and Vision Benefits for full-time/permanent positions - we care about our employees and we want to make sure YOU have the benefits you need to stay healthy and well.
• Paid time off - we understand and value the importance of rest and recovery and that includes time away from work!
• Career Growth. You’re joining a growing team and company with ambitious goals.
• Learning & Development. We encourage our team to develop their unique strengths, offering Gallup-Clifton Strengths coaching and workshops, along with tailored education opportunities.
• Onsite Amenities and Events. Onsite parking, on-site gym, and events! Be a part of a fun-loving team!
• Onsite SNACKS & Meals, lunch program, beer/kombucha fridge, coffee/tea and more! We want to make sure you stay fuelled throughout the day!
• Casual dress. We want you to feel comfortable when you work. No need to wear a business suit [unless you want to].
• Hybrid options. Work on-site at our Abbotsford, BC, Canada head office, or in a hybrid arrangement (role-dependent). Hybrid roles require a regular weekly presence in the office.