Senior Software Developer - Machine Learning

Vector Institute; Toronto; Vor Ort; CAD 126.000 - 157.000; Vollzeit

Benefits dieser Stelle

Health Spending Account

Vacation time

Floater days

Summer Hours program

Flexible work arrangements

Zusammenfassung

Vector Institute seeks a Senior Software Developer, Machine Learning to package research into reusable software artifacts and APIs for deployment across Vector’s applications. You will collaborate with researchers, software engineers, and product managers to translate ML findings into scalable solutions.

The ideal candidate has 5–7 years in ML software development, strong Python/Java/C++ skills, and experience with TensorFlow, PyTorch, or JAX, plus Docker/Kubernetes.

Qualifikationen

• Master's degree in CS, data science, or related field; PhD is an asset.
• Strong programming skills in Python, Java, or C++ with ML experience.
• Experience packaging ML research into reusable software artifacts.

Aufgaben

• Package ML research into reusable software components and libraries.
• Develop APIs and frameworks to deploy ML models in Vector's software.
• Collaborate with researchers and product teams to identify ML opportunities.
• Ensure scalable, reliable ML software through testing and design.
• Maintain documentation and examples for engineers.

Kenntnisse

Python

Java

C++

Cross-functional collaboration

Ausbildung

Master's degree in computer science, data science, or related field

PhD is asset

Tools

TensorFlow

PyTorch

JAX

Docker

Kubernetes

Jobbeschreibung

Senior Software Developer - Machine Learning

Full Time - Professional Staff Toronto, ON, CA

3 days ago Requisition ID: 1230

Salary Range: $125,800.00 To $157,300.00 Annually

Senior Software Developer, Machine Learning

POSITION SUMMARY

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, including researchers, software developers, and product managers, to design, develop, and deploy machine learning solutions that can be integrated into Vector’s software applications.

KEY 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; and,
• Other related duties as assigned from time to time.

KEY SUCCESS MEASURES

• The code quality and extensibility of existing libraries as well as new libraries implemented by AI Engineering is high. Systems design approach applied to development of new software;
• The software and APIs developed by AI Engineering are well-documented and there is strong user engagement, measured in terms of forks, PRs, issues, and stars;
• The number of successful products/models delivered by AI Engineering increases, as measured by where code is reused and duplicate effort is reduced. The number of APIs scaled to multiple users increases;
• Software development and system design best practices are more widely adopted across the AI engineering team, showcased by successful implementations, reliability, observability and operability;
• A high degree of automation of code review and software continuous integration process is achieved. Automation of running of data pipelines, model training, and evaluation using workflow orchestration tools is achieved; and,
• Knowledge on software and systems design is shared across teams, and institutional knowledge on building responsible ML systems developed.

PROFILE OF THE IDEAL CANDIDATE

• 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; and,
• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

TOTAL REWARDS: The expected salary for this position will be $125,800 - $157,300 per year, plus benefits if applicable. The final salary offer will reflect the successful candidate's experience, skills, and qualifications, in alignment with the Vector Institute's Compensation Policy and may differ from above.

The Vector Institute’s Total Rewards approach extends beyond traditional compensation and benefits. Full-time employees are eligible for a comprehensive suite of supports that recognize and value employees, including vacation time, floater days, GRRSP, a Health Spending Account, a Summer Hours program, and flexible work arrangements.

POSITION STATUS: This posting is for an existing vacancy.

INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT: 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.

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 [e-mail]. The Vector Institute team will be happy to work with you to ensure your experience is as inclusive and accessible as possible.

JOIN OUR COMMUNITY: Check out the Vector Institute’s Careers Page to explore open opportunities at Vector and Follow Vector on X , LinkedIn , and Bluesky to stay connected with the latest developments in Ontario's AI ecosystem and the Vector Institute.