Machine Learning Resident – Client: Blue Raven
Alberta Machine Intelligence Institute (Amii)
full-time
Posted on:
Location Type: Hybrid
Location: Edmonton • Canada
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About the role
- This is a paid residency that will be undertaken over a 12-month period with the intention to be hired by the client afterwards.
- 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.
- Design, implement, optimize, and evaluate models for real-time fraud detection using audio and text data.
- Undertake applied research on ML and audio processing techniques to address the limitations in existing models.
Requirements
- Completion of a Computer Science (or a related graduate degree program) MSc. or PhD, ideally with specialization in audio/speech processing, LLMs, or fraud/anomaly detection.
- Proficient in developing and training, fine-tuning and evaluating classical machine learning as well as deep neural network models.
- Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, TensorFlow, PyTorch, OpenCV, Pandas, HuggingFace).
- Solid understanding of classical statistics and its application in 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)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningaudio processingfraud detectiondeep neural networksclassical statisticsmodel validationPythonmodel trainingmodel evaluationfine-tuning
Soft skills
positive attitudelearningknowledge transfercollaborationcommunication
Certifications
MScPhD