Назад
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6 дней назад

Machine Learning Developer (AI)

110 000 - 160 600CAD
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Developer (AI): Developing large-scale motion prediction models, experimental pipelines, and end-to-end data-driven workflows with an accent on deep learning, statistical methods, and scalable infrastructure. Focus on training and tuning models, analyzing errors, implementing research results, and building high-performance shared code for media and entertainment applications.

Location: Toronto, Ontario, Canada. The role may require in-person onboarding and/or in-person identity verification. Key team locations include Toronto, Montreal, San Francisco, and Vancouver.

Salary: CAD 110,000–160,600 annual base salary for Canada-based roles; offers may exceed this range and may include bonuses, stock grants, and benefits.

Company

hirify.global develops software that helps customers imagine, design, and create products, buildings, media, and entertainment experiences.

What you will do

  • Review media- and motion-focused machine learning research and assess feasibility and generalizability.
  • Implement new machine learning results, improve existing models, and develop large-scale motion prediction models.
  • Build end-to-end workflows, experimental pipelines, prototypes, and data-driven motion editing solutions.
  • Process and prepare data at scale, train models, tune hyperparameters, and analyze model errors.
  • Collaborate on research projects within a globally based team and report findings to project and program leads.
  • Maintain scalable, high-quality implementations for shared code repositories using modern coding tools.

Requirements

  • Master’s or PhD in computer science, mathematics, statistics, physics, AI/ML, or a related field.
  • Strong knowledge of deep learning architectures, regularization, loss functions, learning methods, and optimization.
  • Deep understanding of statistical machine learning, including Bayesian methods, HMMs, graphical models, dimensionality reduction, clustering, classification, and regression.
  • Proficiency with Python, TensorFlow, PyTorch, scalable compute, storage, bandwidth infrastructure, and orchestration layers.
  • Experience with time-series analytics, prediction, fundamental computer science algorithms, and applying machine learning libraries to business problems.
  • Experience with assisted coding environments and scalable, high-velocity code-generation practices.

Nice to have

  • Production experience in entertainment or adjacent industries and familiarity with creative workflows.
  • Experience collaborating with creatives and producers.
  • Knowledge of media pipelines and practical data modeling.
  • Passion for entertainment and experience using creative software.

Culture & Benefits

  • Work on innovative software projects for media, entertainment, design, and making.
  • Collaborate with an internationally distributed team.
  • Compensation may include annual cash bonuses, stock grants, and a comprehensive benefits package.
  • In-person onboarding and identity verification may be required.

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