Hybrid Machine Learning Scientist – 1 year term

at Alberta Machine Intelligence Institute (Amii)

• Job title: Machine Learning Scientist – 1 year term
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Cloud, Java, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Edmonton, Canada

About the role

• Machine Learning Scientist at Amii, responsible for leading applied ML projects and mentoring junior team members. Advancing ML research and client capabilities in a collaborative environment.

Responsibilities

• Reporting to the Lead Machine Learning Scientist, the Machine Learning Scientist serves as a key member in maintaining Amii's reputation for scientific excellence and providing insight into their area of expertise.
• Responsible for the delivery of innovative solutions to Amii's industry partners by leading applied ML projects and mentoring junior team members.
• 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.

Requirements

• Masters in Computer Science with a specialization in Machine Learning or related field with relevant applied experience in Machine Learning
• 2+ years experience developing, training, and evaluating machine learning models in an industrial setting
• 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

• A professional yet casual work environment that encourages the growth and development of your skills
• Participate in professional development activities
• Gain access to the Amii community and events
• A chance to learn from amazing teammates who support one another to succeed
• Competitive compensation, including paid time off and flexible health benefits