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Senior Computer Vision and Machine Learning Engineer

Apple Inc.

Toronto

On-site

CAD 204,000 - 387,000

Full time

Yesterday
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Job summary

A leading technology company is seeking a Senior Computer Vision and Machine Learning Engineer in Toronto. You will build state-of-the-art machine learning models for creative editing tools, collaborating with experts in an innovative environment. The ideal candidate has a master's degree in a related field and at least 5 years of significant industry experience in computer vision and machine learning technologies, including deep learning techniques. This role offers a competitive salary range and comprehensive benefits.

Benefits

Comprehensive medical coverage
Retirement benefits
Educational reimbursement
Stock purchase options

Qualifications

  • 5+ years of experience delivering products with computer vision and machine learning.
  • Strong programming skills in Python and/or C++.
  • Experience with transformer models and GANs.

Responsibilities

  • Build machine learning models to power application features.
  • Collaborate with cross-functional teams on features.
  • Drive features from concept through to delivery.

Skills

Computer Vision
Machine Learning
Deep Learning
Programming in Python
Collaboration Skills

Education

MS in Computer Science or related field
PhD in Computer Science or related field

Tools

PyTorch
TensorFlow
JAX
Job description
Senior Computer Vision and Machine Learning Engineer, Creativity Apps

Toronto, Ontario, Canada Software and Services

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. As a Senior Computer Vision & Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity!

Description

The ideal candidate should have deep experience in computer vision and machine learning and care about long term sustainable software development. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.

  • Build state-of-the-art machine learning models to power application features.
  • Collect model training data, design model architectures, and train custom models suited for application features.
  • Partner with cross-functional teams to design and implement end-to-end machine learning enabled features to power the next-generation tools for creators.
  • Drive application features from concept, model design, development and all the way to delivery.
Minimum Qualifications
  • MS Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies.
  • Extensive knowledge in theory and practice of computer vision, machine learning and deep learning techniques.
  • Experience delivering products in Computer Vision, Computational Photography, Generative AI, Machine Learning, or related areas.
  • Hands-on experience with building, training, evaluating, and deploying transformer based vision models, Generative Adversarial Network based models, or related methods.
  • Experience delivering high quality software at scale.
  • Strong programming skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow.
  • Ability to solve everyday problems in innovative ways.
  • Ability to communicate effectively and collaborate with partner teams.
  • Committed to encouraging an open and inclusive work environment.
Preferred Qualifications
  • PhD in Computer Science, Machine Learning or related field.
  • Familiarity with modern camera ISP and digital image processing algorithms and models is a plus.
  • Color science experience.
  • Experience optimizing models and algorithms that run efficiently on resource constrained platforms is a plus.
  • Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus.
  • Knowledge and keen interest in learning the art and science of photography and aesthetics.
  • Strong patent and publication record at top conferences is a plus.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,700 and $285,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple Inc.’s discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit award recommendations, and can purchase Apple Inc. stock at a discount if voluntarily participating in Apple Inc.’s Employee Stock Purchase Plan. Participation in Apple Inc.’s discretionary stock programs is governed by Apple Inc.’s stock plans and agreements and are not part of local employment contracts or compensation.

You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit and compensation programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. Apple provides reasonable accommodations to applicants with disabilities. Apple is a drug-free workplace.

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