Senior Computer Vision and Machine Learning Engineer – Apple – Toronto, ON

Join Apple in Toronto as a Senior Computer Vision and Machine Learning Engineer and help redefine the future of creative editing tools. This role is part of the Creativity Apps team, where your work will have a significant impact on creative professionals and enthusiasts worldwide.

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In this dynamic position, you’ll collaborate with top-tier creatives, designers, and engineers, innovating in ways that only Apple can. If you’re passionate about cutting-edge technology and creativity, this opportunity could be your perfect fit.

About the Role: Senior Computer Vision and Machine Learning Engineer

As a Senior Engineer, you’ll be tasked with building state-of-the-art machine learning models to enhance application features. Your responsibilities will include collecting model training data, designing model architectures, and training custom models tailored for application features. You’ll work cross-functionally to design and implement end-to-end machine learning features that empower the next generation of creative tools.

Compliance and teamwork are crucial in this role. You’ll need to collaborate effectively across different teams, ensuring that your solutions are sustainable and align with Apple’s high standards.

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Benefits and Salary

Apple offers a competitive base pay range for this role, between $150,700 and $285,000, depending on skills, qualifications, and experience. Employees can also participate in Apple Inc.’s discretionary stock programs, enjoy comprehensive medical and dental coverage, and benefit from retirement plans. Additional perks include discounted products and educational expense reimbursement. Relocation and discretionary bonuses may be available.

Job Details

📌 Job Type: Full-time

🏢 Company: Apple

📍 Location: Toronto, ON

🆔 Requisition ID: 200643131-3965

🗓️ Date Posted: Jan 26, 2026

⏱️ Schedule: 40 hours per week

💰 Pay: $150,700 – $285,000

Responsibilities

As a key member of the team, you’ll be responsible for driving the development of innovative features from concept to delivery. Your work will involve designing and implementing machine learning models that enhance application capabilities, ensuring they meet the high standards of Apple’s products.

  • Build state-of-the-art machine learning models for application features
  • Collect and prepare model training data
  • Design model architectures and train custom models
  • Collaborate with cross-functional teams to implement end-to-end features
  • Drive features from concept to delivery

Requirements / Skills

The ideal candidate is a self-motivated individual with a deep understanding of computer vision and machine learning. Strong programming skills in Python or C++ and experience with deep learning toolkits like PyTorch, JAX, or Tensorflow are essential. You should thrive in a collaborative environment and be committed to sustainable software development.

  • MS in Computer Science, Machine Learning, or related field
  • 5+ years of industry experience in delivering products using computer vision and machine learning
  • Strong programming skills in Python and/or C++
  • Experience with deep learning toolkits such as PyTorch, JAX, or Tensorflow
  • Effective communication and collaboration skills

How to Apply

Interested candidates are encouraged to apply through the official Apple job posting link.

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Job Summary & Tips for Applying

AI-generated summary and tips to help you highlight your strengths effectively.

Quick Summary & What to Highlight: This Senior Computer Vision and Machine Learning Engineer role at Apple in Toronto is perfect for candidates who excel in machine learning, computer vision, and software development. On your resume, emphasize any experience with deep learning, attention to detail, and your ability to work in a fast-paced environment. If you’ve previously worked in AI or related fields, make sure to highlight specific achievements and responsibilities that align with this position.

Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like machine learning, Python, and computer vision that appear in the posting. Quantify your achievements where possible (e.g., “developed models that improved accuracy by 20%”). Write a brief cover letter expressing your genuine interest in Apple and why you’re excited about this opportunity in Toronto. Double-check your application for spelling errors and ensure your contact information is current.

Interview Preparation: If selected for an interview, research Apple‘s values, recent news, and company culture beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your relevant skills. Common questions may include scenarios about problem-solving, teamwork, and innovation. Dress appropriately for a tech industry environment, arrive 10-15 minutes early, and bring copies of your resume. Prepare thoughtful questions about the role, team dynamics, and growth opportunities. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.