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Hybrid Machine Learning Scientist
Posted 2 weeks ago
About the role
- Machine Learning Scientist developing innovative machine learning solutions, mentoring junior team members at Amii in Edmonton. Leading applied ML projects and supporting clients in AI adoption.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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