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About the Role
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.
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.
Requirements
- 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++.
- 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.
Skills
- Python
- JavaScript
- C++
- TensorFlow
- PyTorch
- scikit-learn
- Machine learning algorithms
- Statistical modeling
- Data preprocessing
- Data structures
- Algorithms
- Time complexity
- Software engineering best practices
- Version control systems
- Collaborative development environments
- LangChain
- Agent development kits
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
Location
- Remote
Work Type
- Full-time
- Flexible work arrangements
Experience Level
- Associate
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- $80,500 - $100,600 per year
Benefits
- Vacation time
- Floater days
- GRRSP
- Health Spending Account
- Summer Hours program
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.