Applied Machine Learning Engineer

Overview

As an Machine Learning Engineer on the Applied ML team, you collaborate with customers to translate real problems into production-ready ML solutions. You’ll drive cross-functional initiatives from concept to deployment, mentor engineers, and shape model strategy in a fast-moving, enterprise context. The role sits at the intersection of product, research, and partnerships, with impact across industries. You will help close the last-mile gap in AI adoption and build disruptive ML products.

Pay / Benefits

• weekly lunch stipend
• health and dental benefits
• RRSP matching and pension
• 100% parental leave top-up
• education stipend for conferences and courses
• 6 weeks of paid vacation

Responsibilities

• Plan and execute large, multi-phase projects from ideation to production
• Align engineering, product, and other disciplines to deliver solutions
• Mentor a distributed team of engineers with subject-matter expertise
• Identify gaps in existing models and define strategic work
• Collaborate with product teams to develop solutions
• Engage with partner organizations and assist with IP patents
• Join at a pivotal moment, wearing multiple hats to shape what is built

Key requirements

• Experience leading ML teams in applied research and production
• Defining and executing technical direction for new or refined products
• Cross-disciplinary collaboration in matrixed organizations
• Proficiency in Python and ML frameworks (TensorFlow, TF-Serving, JAX, XLA/MLIR)
• Experience with large-scale distributed training and inference
• Strong mentorship, communication, and problem-solving skills
• Demonstrated passion for applied ML models and products
• Bonus: experience in ML for B2B companies

• mentorship
• communication
• problem-solving
• Python
• TensorFlow
• TF-Serving

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