Senior Machine Learning Engineer – Apple – Toronto, ON

Apple’s News, Books, and Stocks team in Toronto, Ontario is looking for a Senior Machine Learning Engineer to help shape the next generation of products used by millions of people every day. This is a team that genuinely invests in its people — a distributed group of client and ML engineers who take pride in both the quality of their work and the culture they’ve built together.

On this team, machine learning is applied to genuinely hard problems: text extraction, named entity recognition, duplicate detection, search, ranking, and more — all within the fast-moving worlds of news, books, and financial data. If you’re energized by the idea of building scalable ML services that directly impact how people consume content and stay informed, this role is worth a close look.

About the Role: Senior Machine Learning Engineer

As a senior member of this team, you’ll play a central role in the delivery of scalable machine learning services. You’ll work alongside client engineers and ML specialists to design, build, and ship models that power real user-facing features in Apple News, Apple Books, and Stocks. The work spans the full ML lifecycle — from problem framing and data exploration through to model training, evaluation, and production deployment.

Collaboration is core to how this team operates. You’ll engage regularly with interdisciplinary partners, communicate clearly across engineering and product boundaries, and contribute to an open and inclusive environment where teammates support each other’s growth. Apple’s commitment to user privacy and responsible use of machine learning is baked into how this team approaches its work at every stage.

Benefits and Salary

Apple offers a comprehensive benefits package to its employees in Canada, which typically includes health and dental coverage, employee stock purchase programmes, and access to Apple products and services. As Apple does not list specific salary figures in this posting, candidates are encouraged to discuss compensation directly during the interview process.

Responsibilities

This role sits at the intersection of applied machine learning research and production engineering. You’ll be expected to take ownership of end-to-end ML workflows — from exploring novel approaches to shipping reliable, high-quality models that run at scale and directly affect the experience of Apple users worldwide.

• Design and ship machine learning models for applications in Apple News, Books, and Stocks
• Tackle complex problems such as text extraction, named entity recognition, duplicate detection, search, and content ranking
• Build and maintain scalable, production-ready ML services that serve millions of users
• Collaborate closely with client engineers and interdisciplinary partners across product and design
• Contribute to an open and inclusive team culture that values learning and mutual support
• Communicate technical concepts and project status clearly across partner teams
• Drive innovation on upcoming product features that align with Apple’s standards for privacy and quality

Requirements / Skills

The ideal candidate brings a strong foundation in machine learning engineering combined with hands-on experience delivering models in real-world products. Apple values engineers who are not only technically sharp but also collaborative, self-driven, and committed to doing their best work in a team setting.

• MS degree in Machine Learning, Computer Science, or a related field — or equivalent industry experience (Ph.D. preferred)
• At least 2 years of experience shipping ML models in production products (5+ years preferred)
• Strong programming skills in Python, Java, or a related language
• Proficiency with deep learning frameworks such as PyTorch, TensorFlow, or similar toolkits
• Experience with text-centric AI/ML — including LLMs, document classification, or search — is a strong asset
• Experience with recommender systems and delivering high-quality software at scale is an advantage
• Effective communication and ability to collaborate with cross-functional teams

How to Apply

To apply, visit the official Apple job posting using the link below. Make sure your resume is up to date and reflects your ML engineering experience before submitting.

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