Alberta Machine Intelligence Institute (Amii)

Machine Learning Scientist

Alberta Machine Intelligence Institute (Amii)

full-time

Posted on:

Location Type: Hybrid

Location: Edmonton • 🇨🇦 Canada

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Job Level

JuniorMid-Level

Tech Stack

CloudJavaPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Work with Amii clients to advance their ML projects and capabilities
  • Serve as a subject matter expert to guide and support organizational initiatives
  • Support the advancement of ML research and development in both industry and academia
  • Mentor junior team members to help them achieve their goals and advance their professional growth
  • Leads regular client meetings to understand their machine learning objectives and provides tailored technical guidance to support project development
  • Bridges the gap between fundamental ML techniques and business applications, providing scientific insight into technical projects and leading the technical and scientific direction
  • Supports the implementation of exploratory data analysis and machine learning modelling techniques
  • Conducts client discovery sessions to understand and evaluate potential projects and to determine specific needs and requirements
  • Coaches clients to efficiently extract insights and make informed decisions
  • Writes and reviews technical reports and code
  • Develops and nurtures strong relationships with clients through effective communication and scientific excellence
  • Incorporates client feedback to enhance delivery and ensure client success
  • Establishes themselves firmly as a trusted subject matter expert in reinforcement learning as well as potential other domains
  • Coaches junior staff through the model-building process, providing expertise and support
  • Mentors junior team members on career development and progression, drawing lessons for coaching opportunities
  • Encourages a collaborative work environment by facilitating teamwork and the exchange of ideas among team members
  • Identifies and addresses knowledge gaps, providing solutions or resources to bridge them
  • Ensures the Principled AI Framework is integrated into all projects, promoting ethical AI development and usage
  • Translates academic research into practical applications, applied research and industry solutions
  • Conducts research in leading-edge methods in various AI domains, such as reinforcement learning (RL), computer vision (CV), natural language processing (NLP) and large language models (LLMs)
  • Transfers knowledge across domains and industries, building a strong technical repertoire to bring to new problems
  • Prepares manuscripts for publication in peer-reviewed journals
  • Supports fundamental research in AI through applied research projects and the development of research topics
  • Provides supervision to junior team members by overseeing and refining their work, and managing approval processes
  • Mentors direct reports on career development and progression, drawing lessons for coaching opportunities
  • Fosters a collaborative work environment by facilitating teamwork and the exchange of ideas among team members
  • Encourages and maintains a problem-solving approach to work while acting as a coach and collaborator
  • Identifies and addresses knowledge gaps, providing solutions or resources to bridge them
  • Functions as a point of escalation for addressing challenges and facilitating the resolution of problems

Requirements

  • Masters or PhD in Computer Science with a specialization in Machine Learning or related scientific field with relevant applied experience in Machine Learning
  • 2+ years experience developing, training, and evaluating machine learning models in an industrial setting
  • Experience and expertise with Reinforcement Learning as demonstrated with academic projects and/or industrial application
  • 1+ years experience in a leadership capacity in industry or academic setting (nice to have)
  • Proficient in Python, experience in other programming languages i.e. Java or SQL (nice to have)
  • Proficient with machine learning tools and frameworks such as Scikit-learn, Pytorch/Tensorflow, Pandas, Optuna, Wandb, lightgbm/XGBoost, and SciPy
  • Publication record in peer-reviewed academic conferences or relevant journals
  • Ability to explain complex technical concepts clearly to non-technical audiences
  • Thorough understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
  • Experience leveraging cloud based tools for ML model building and deployment
Benefits
  • Competitive compensation, including paid time off and flexible health benefits
  • Participate in professional development activities
  • Gain access to the Amii community and events
  • A professional yet casual work environment that encourages the growth and development of your skills
  • A chance to learn from amazing teammates who support one another to succeed

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningreinforcement learningsupervised learningunsupervised learningPythonScikit-learnPytorchTensorflowPandasOptuna
Soft skills
mentoringcommunicationcollaborationproblem-solvingcoachingleadershiprelationship buildingtechnical guidanceclient engagementteamwork