Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
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Machine Learning Resident – Client: Artificial Agency
Posted 4 weeks ago
About the role
- ML Resident contributing to agentic system evaluation frameworks at Artificial Agency. Working on AI projects in a 12-month term mentorship role with potential for continued employment.
Responsibilities
- Design, implement, and optimize a multi-level evaluation framework for agentic systems.
- Generate simulated datasets, robust metrics, and reproducible test methodologies to evaluate agentic and sequential decision behaviors under a variety of environments.
- Undertake applied research on ML and statistical techniques to address the limitations in existing models and approaches.
- Optimize ML and evaluation pipelines to ensure efficiency and scalability processing capabilities.
- Collaborate with the project team and stakeholders to develop MVP and client focused solutions.
- Engage in regular client meetings, contributing to presentations and reports on project progress.
Requirements
- Completion of a Computer Science (or a related scientific/engineering graduate degree program) MSc. or PhD.
- Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, PyTorch, Gym/Gymnasium, OpenCV, HuggingFace).
- Solid understanding of classical statistics and its application in experiment design and model validation.
- 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.
Benefits
- Work under the mentorship of an Amii Scientist for the duration of the project
- Participate in professional development activities
- Gain access to the Amii community and events
- Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
- Build your professional network
- The opportunity for an ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)
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