Associate Software Developer-Machine Learning

United States Digital Space LLC; Toronto; On-site; CAD 113,236 - 141,511; Full time

Benefits offered by this job

Vacation time

Floater days

GRRSP

Health Spending Account

Summer Hours

Flexible work arrangements

Job summary

Vector is seeking an Associate Software Developer, Machine Learning to accelerate open‑source tooling and support ML researchers with robust software practices and scalable pipelines. You will build libraries, APIs, and tooling to enable experimentation, training, evaluation, and deployment of ML models.

Ideal candidates have a CS or data science degree, strong Python/JS/C++ skills, and experience with TensorFlow/PyTorch. Familiarity with cloud platforms, Docker, and Kubernetes is a plus.

Qualifications

• Bachelor's or Master's degree in computer science, data science, or a related field.
• Solid programming skills in Python, JavaScript, or C++, with ML frameworks like TensorFlow, PyTorch, or scikit‑learn.
• Strong knowledge of ML algorithms, statistical modeling, and data preprocessing.
• Fundamental understanding of data structures, algorithms, and time complexity.
• Proficiency in software engineering best practices, version control, and collaborative development.
• Familiarity with LangChain, agent development kits is a plus.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and Docker/Kubernetes is a plus.
• Strong problem‑solving and ability to bridge ML research with software engineering.
• Excellent communication and collaboration in a research‑driven environment.

Responsibilities

• Collaborate with ML scientists to understand models and package them into reusable software.
• Contribute to flagship product development with best practices for collaborative software.
• Build libraries, frameworks, and tools for ML experimentation, training, evaluation, and deployment.
• Develop scalable data pipelines, preprocessing workflows, and feature engineering systems.
• Design APIs, interfaces, and documentation to productionize ML models.
• Collaborate to optimize performance, scalability, and reliability of ML software.
• Apply modern ML and software practices to enhance productivity and capabilities.
• Support development of internal agents and maintain production services.
• Translate research needs into production-ready solutions and share knowledge.

Skills

Python

JavaScript

C++

ML algorithms

Data preprocessing

Software engineering practices

Version control

Cloud platforms

Docker

Kubernetes

LangChain

Agent development kits

Education

Bachelor's or Master's in CS / Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Associate Software Developer, Machine Learning

Position Summary

As an Associate Software Developer, Machine Learning, your primary focus will be enabling the development of open‑source tools, including a flagship product that results in strong outcomes for all stakeholders. You will play a key role in supporting ML researchers through strong software developer practices, helping them explore and implement cutting‑edge machine learning techniques.

Key Responsibilities

• Collaborate with Applied ML Scientists and Applied ML Specialists to understand models, algorithms, and research goals, and package them into reusable software components.
• Contribute to the development of Vector AI Engineering’s flagship product using best practices for collaborative software development.
• Build libraries, frameworks, and tools that enable efficient experimentation, training, evaluation, and deployment of ML models.
• Develop scalable data pipelines, preprocessing workflows, and feature engineering systems to support ML research.
• Design and implement APIs, interfaces, and documentation to integrate ML models into production applications.
• Collaborate with software development staff and ML researchers to optimize and improve the performance, scalability, and reliability of ML software artifacts.
• Apply modern machine learning and software development practices to enhance research productivity and system capabilities.
• Support the development of internal agents and maintain critical production services.
• Partner with stakeholders to translate research needs into practical, production‑ready solutions.
• Share knowledge of emerging tools, techniques, and best practices across the team.
• 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.
• 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 quality of the flagship product codebase developed by AI Engineering increases, where code is reused and duplicate effort is reduced. Users and developer engagement increases.
• Fast iteration cycles are achieved based on user feedback, number of PRs merged, and bug fixes.
• A high degree of automation of code review and software continuous integration process, as well as automation of running agent evaluation pipelines and benchmarking, is achieved.

Profile of the Ideal Candidate

• Bachelor's or Master's degree in computer science, data science, or a related field.
• Solid programming skills in languages such as Python, JavaScript, or C++, and proficiency in ML frameworks like TensorFlow, PyTorch, or scikit‑learn.
• Strong understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques.
• Strong fundamental understanding of data structures, algorithms, and time complexity.
• Proficiency in software engineering best practices, version control systems, and collaborative development environments.
• Familiarity with modern toolkits – LangChain, agent development kits is considered an asset.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is considered an asset.
• Strong problem‑solving abilities, with the capability to bridge the gap between ML research and practical software engineering solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a research‑driven and dynamic environment.

Total Rewards

The expected salary for this position will be $80,500 – $100,600 per year, plus benefits if applicable. The final salary offer will reflect the successful candidate's experience, skills, and qualifications, in alignment with the company Compensation Policy and may differ from above.

The company’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 a new position.

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 company 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 company team will be happy to work with you to ensure your experience is as inclusive and accessible as possible.