Director, Machine Learning Engineering and Infrastructure
Toronto, Ontario, Canada (Hybrid) · Full Time
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- Experience
- 10+ yrs
- Salary
- CAD 188,200 – CAD 268,900 / year
- Openings
- 1
- Posted
- 6 days ago
- Work mode
- Hybrid
- Education
- Masters or Ph.D. in Computer Science, Machine Learning, or related field
- Resume
- Required to apply
Where you'll work
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Job description
About the Role
The Machine Learning team at Tubi is at the forefront of creating personalized user experiences for an audience of hundreds of millions, with the industry's largest content inventory. The team tackles challenges involving recommendations, search, content comprehension, and advertising optimizations, shaping the streaming industry's future.
We are searching for a Director to lead our hybrid Machine Learning Engineering and Infrastructure team. You will be responsible for setting and executing the strategic direction to scale our ML capabilities while ensuring that our distributed infrastructure effectively supports large-scale innovation. This leadership role requires a blend of deep technical expertise and strong managerial skills to oversee teams that produce foundational ML systems and high-performance distributed services.
This position is located in our Toronto office with a hybrid working arrangement.
Key Responsibilities
- Lead and develop high-achieving teams in ML engineering and infrastructure, fostering innovation, teamwork, and continuous growth.
- Create and implement strategic roadmaps for ML systems that cover recommendations, personalization, and advertising optimization.
- Manage the architecture, development, and deployment of scalable machine learning pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.
- Design and oversee distributed systems that support large-scale ML workloads with a focus on reliability, monitoring, and operational excellence.
- Collaborate closely with Product, Engineering, and Content teams to align initiatives with business objectives and build impactful machine learning-driven solutions.
- Promote best practices in ML experimentation, evaluation techniques, and system monitoring.
- Ensure investments in ML infrastructure optimize cost-efficiency, scalability, and system performance.
Required Qualifications and Experience
- Over 10 years of professional experience in machine learning engineering and distributed systems.
- At least 3 years of leadership experience, demonstrated by successfully building and guiding technical teams.
- A master's or doctoral degree in Computer Science, Machine Learning, or a related discipline, or equivalent practical experience.
- Proven success in building and deploying end-to-end machine learning systems at scale, particularly recommendation and personalization platforms.
- Expertise in distributed systems architecture such as low-latency services, streaming frameworks, and large-scale serving environments.
- Hands-on knowledge of deep learning frameworks like TensorFlow or PyTorch and ML infrastructure tools.
- History of delivering scalable, resilient, and high-quality systems.
- Strong communication skills with the ability to influence both product and technical directions.
- Experience deploying large-scale serving systems on AWS and leveraging Databricks for extensive data processing and machine learning workflows.
Compensation and Benefits
The annual salary range for this role in Toronto is CAD $188,200 to $268,900, with the final amount dependent on education, skills, experience, and location.
The position also qualifies for an annual discretionary bonus, long-term incentive plan, and benefits including medical, dental, vision coverage, insurance, paid vacation, and other perks as outlined by Tubi's employee plans.
Additional Benefits
- Flexible time off policy in place of traditional vacation benefits.
- A generous parental leave program offering 12 weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement, supplementing government leave and disability policies.
- Monthly wellness reimbursements for full-time employees.
About Tubi
Tubi is a leading free streaming platform reaching over 100 million monthly active users, offering an extensive library of Hollywood movies, TV shows, creator-led content, and Tubi Originals. Founded in 2014 with headquarters in San Francisco, Tubi operates as part of the Fox Corporation media group.
Equal Opportunity Employer
We provide equal employment opportunities without discrimination based on race, color, religion, sex, nationality, gender identity, disability status, veteran status, or any legally protected category. Applications from qualified individuals with criminal records will also be considered where permitted by law.
Minimum education
Master's Degree