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Hi, I am Gabriel, the Senior Machine Learning Engineer at Musora Media and we are looking for a Machine Learning Engineer to join our team.
Ready to build cutting-edge recommendation systems and work with deep learning architectures that make a real impact? This role is all about developing, deploying, and maintaining high-performance ML models that drive innovation.
Key Duties & Responsibilities
Model Development & Deployment
- 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.
Skills, Knowledge and Expertise
- 3+ years of professional experience as a Machine Learning Engineer or Data Scientist in an industry setting.
- Proven experience delivering machine learning models into production environments at scale.
- Candidates are preferred to have an MSc. in Computing Science or a closely related discipline (e.g. statistics).
- Strong programming skills in Python, including experience with ML libraries
- Familiarity with recommender systems, collaborative filtering, and content-based methods.
- Deep understanding of machine learning principles, model evaluation, and statistical techniques.
- A strong mathematical and statistical foundation relevant to Machine Learning (e.g. linear algebra, calculus, probability)
- Experience with MLOps tools and best practices (e.g., MLflow, SageMaker, Kubeflow, Vertex AI).
- Knowledge of cloud platforms (AWS, GCP, Azure) for deploying and managing ML workloads.
- Experience with SQL; bonus if familiar with Snowflake.
- Excellent communication and collaboration skills across both technical and non-technical stakeholders.
- A self-starter who is comfortable working in a fast-paced, agile environment.
- Detail-oriented with a strong sense of ownership and commitment to high-quality work.
- Proficient in the English language, both written and verbal.
- Ability to exhibit the Company's Core Values: Empathy, Passion, and Grit.
- Experience with HuggingFace Transformers, Diffusers, or model hosting platforms like HuggingFace Spaces.
- Prior work on personalization systems, sequence modeling, or NLP tasks.
- Familiarity with Docker or other containerization tools.
- Contributions to open-source projects or ML research.
- 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, 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.
Musora is a team of builders and creators, passionate about making music education accessible and engaging for everyone through technology. We move quickly, adapt constantly, and focus on pushing the boundaries of what’s possible in music learning. If you’re someone who thrives in fast-paced environments, loves to take ownership, and is always looking for ways to grow, you’ll fit right in. We hire based on talent, qualifications, and the value you bring to the table. Discrimination or harassment of any kind has no place here. We foster a transparent, inclusive, and diverse culture where everyone feels welcome and empowered to do their best work.
We're committed to providing reasonable accommodation throughout our hiring process. Please let us know if you have any accommodation needs. To be considered for permanent positions, you must be eligible to work in Canada. We cannot sponsor visas for all permanent positions, but our People & Culture team can assist with work visa renewals.
All offers are contingent upon the successful completion of background checks and/or employment verification results.
Ready to apply?
Join Musora Media Inc. and take your career to the next level!
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