“Join a team of machine learning scientists and domain experts developing intelligent systems that analyze and map complex application dependencies. Collaborate with and be mentored by some of the brightest minds in AI as you shape the future of enterprise software management and intelligent automation. ”

• Adam Danyleyko, Product Owner, Advanced Technology

REQUIRED SKILLS / EXPERTISE

Are you passionate about building great solutions? You’ll be presented with opportunities to both personally and professionally develop as you build your career. We’re looking for a talented and enthusiastic individual with a solid background in machine learning.

REQUIRED QUALIFICATIONS:

• Completion of a graduate level program or higher (M.S./Ph.D) in Computer Science, ML or a related scientific/engineering discipline
• Research or project experience in machine learning, specifically using NLP, Generative AI, and/or graph tools
• Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, PyTorch, Pandas, Tensorflow, JAX)
• Familiarity with linux, Git version control, and writing clean code
• A positive attitude towards learning and understanding a new applied domain
• Must be legally eligible to work in Canada

PREFERRED QUALIFICATIONS:

• Publication record in peer-reviewed academic conferences or relevant journals in machine learning

NON-TECHNICAL REQUIREMENTS:

• Desire to take ownership of a problem and demonstrated leadership skills
• Interdisciplinary team player enthusiastic about working together to achieve excellence
• Capable of critical and independent thought
• Able to communicate technical concepts clearly and advise on the application of machine intelligence
• Intellectual curiosity and the desire to learn new things, techniques, and technologies

ABOUT THE ROLE

This is a paid residency that will be undertaken over a twelve-month period with the potential to be hired by our Venture Capital backed client, post project. The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities. Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and to develop something truly impactful.

KEY RESPONSIBILITIES:

• Design, implement, and optimize ML algorithms for analyzing and mapping network dependencies in codebases and enterprise architectures
• Identify, prepare, and optimize large structured and unstructured datasets from codebases and enterprise environments for ML modeling
• Conduct applied research on ML techniques, with a focus on understanding and addressing the limitations of existing models
• Collaborate with project team and stakeholders to develop minimum viable products (MVPs) and client focused solutions
• Engage in regular client meetings, contributing to presentations and reports on project progress
• Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities
• Support the productionalization and deployment of models in client environment