Senior Software Developer - Machine Learning at Vector Institute | CA | Rezi

Senior Software Developer - Machine Learning at Vector Institute

Senior Software Developer - Machine Learning

Vector Institute · CA

3 weeks ago

Senior Software Developer - Machine Learning

Vector Institute · CA

25 days ago
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About the Role

As a Senior Software Developer, Machine Learning, your primary focus will be on packaging machine learning research into reusable software artifacts. You will collaborate with cross-functional teams to design, develop, and deploy machine learning solutions for integration into Vector’s software applications.

Responsibilities

  • Collaborate with Applied ML Scientists, ML researchers, and other Applied ML Specialists to understand and package machine learning research into reusable software components.
  • Design and develop software libraries, modules, and APIs that encapsulate machine learning models, algorithms, and data preprocessing techniques.
  • Develop software frameworks and tools to streamline the integration and deployment of machine learning solutions in Vector’s software applications.
  • Collaborate with product managers and stakeholders to identify ML opportunities and prioritize research areas for software integration.
  • Ensure the scalability, performance, and reliability of machine learning software artifacts through efficient code design, optimization, and testing.
  • Stay up-to-date with the latest advancements in machine learning research and methodologies, and identify opportunities for leveraging new techniques.
  • Conduct code reviews and provide constructive feedback to ensure high code quality and adherence to best practices.
  • Collaborate with software engineering teams to integrate machine learning software components into existing and new software applications.
  • Develop and maintain documentation and examples to support the adoption and usage of machine learning software artifacts by other developers.
  • Stay informed about data privacy and security regulations to ensure compliance in the development and deployment of machine learning solutions.
  • Other related duties as assigned from time to time.

Requirements

  • Master's degree in computer science, data science, or a related field; a PhD is considered an asset.
  • 5-7 years of relevant industry experience in machine learning, software development, or a related field.
  • Proven experience in packaging machine learning research into reusable software artifacts, with a focus on software development.
  • Strong programming skills in languages such as Python, Java, or C++, and experience with software development frameworks and tools.
  • Solid understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques.
  • Familiarity with popular machine learning libraries and frameworks, such as TensorFlow, PyTorch, or JAX.
  • Experience in designing and developing software libraries, APIs, and frameworks for machine learning solutions.
  • Proficiency in software engineering best practices, including version control, testing, and code documentation.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to translate research ideas into practical and reusable software components.
  • Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Skills

  • Python
  • Java
  • C++
  • TensorFlow
  • PyTorch
  • JAX
  • AWS
  • Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • Machine Learning
  • Software Development
  • API Design
  • Software Libraries
  • Framework Development
  • Version Control
  • Testing
  • Code Documentation
  • Problem-Solving
  • Communication
  • Collaboration

Experience Level

  • Senior

Education Level

  • Master's degree in computer science, data science, or a related field
  • PhD is considered an asset

Salary/Compensations

  • $125,800 - $157,300 per year

Benefits

  • Vacation time
  • Floater days
  • GRRSP
  • Health Spending Account
  • Summer Hours program
  • Flexible work arrangements

About the Company

  • Vector believes AI powers possibility by advancing cutting-edge research and translating it into real-world impact through collaboration with research, industry, and government.
  • Vector is committed to fostering a diverse and inclusive culture that reflects its values.

Equal Opportunity

  • The Vector Institute welcomes applications from all qualified candidates, including those who are Indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.
  • If you require an accommodation at any stage of the recruitment or selection process, please contact hr@vectorinstitute.ai. The Vector Institute team will be happy to work with you to ensure your experience is as inclusive and accessible as possible.