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Machine Learning Resident - Client: Thrive Career Wellness (1 year term)
Machine Learning Resident - Client: Thrive Career Wellness (1 year term)Amii (Alberta Machine Intelligence Institute) • Edmonton, Division No. 11, CA
Machine Learning Resident - Client : Thrive Career Wellness (1 year term)

Machine Learning Resident - Client : Thrive Career Wellness (1 year term)

Amii (Alberta Machine Intelligence Institute) • Edmonton, Division No. 11, CA
16 days ago
Job type
  • Full-time
Job description

Machine Learning Resident — Client : Thrive Career Wellness (1‑year term)

Amii (Alberta Machine Intelligence Institute) is hiring a Machine Learning Resident for a 1‑year residency that may lead to a full‑time role with Thrive Career Wellness. The role is paid and includes mentorship from an Amii Scientist.

“Come work with us to explore the application of sequential decision‑making algorithms to address a critical challenge in career mobility. If you are an RL / ML researcher or engineer looking to apply your skills to an important real‑world problem with significant human impact, we want to talk to you. You will have the opportunity to innovate on a problem that has the real potential to improve the career trajectories of individuals.”

— Mara Cairo, Product Owner, Advanced Technology

About the Role

This paid residency will run for twelve months, with the potential to be hired by our client, Thrive Career Wellness, afterwards at the client’s discretion. The Resident will report to an Amii Scientist and regularly consult and work with partners to share insights and engage in knowledge transfer activities.

About the Client

Thrive is a cutting‑edge, AI‑enabled career wellness platform that helps organizations navigate workforce transitions while offering career mobility and development services. Its goal is to empower individuals to advance their careers, and it serves over 500 global enterprises, growth firms, and public sector organizations.

What You'll Work On

The AI Career Guide project by Thrive aims to provide personalized career guidance through conversational interfaces and recommendation engines. As a Machine Learning Engineer, you will design and implement large language models (LLMs) and agents that power these tools.

Key Responsibilities

  • Develop, train, and evaluate agents (e.g., LLM agents, reinforcement learning) tailored for optimizing workforce redeployments, outplacement, and career development.
  • Conduct applied research on large language models to understand and address the limitations of existing models.
  • Conduct applied research on multi‑agent architectures to coordinate and deploy AI agents.
  • Collaborate with project team and stakeholders to develop MVPs and client‑focused solutions.
  • Engage in regular client meetings, stand‑ups, and prepare presentations and reports on project progress.

Required Skills & Expertise

We’re looking for a talented individual with a solid background in machine learning, specifically sequential decision‑making algorithms.

Required Qualifications

  • Graduate‑level degree or higher (M.S. / Ph.D.) in Computer Science, ML, or Engineering.
  • Research or project experience in machine learning, specifically large language models.
  • Proficient in Python and related ML frameworks (PyTorch, TensorFlow, LangChain, Pydantic).
  • Familiarity with Linux‑style systems, Git, and clean‑code practices.
  • Positive attitude toward learning and understanding new applied domains.
  • Must be legally eligible to work in Canada.
  • Preferred Qualifications

  • Publication record in peer‑reviewed AI conferences or journals (especially in LLMs or RL).
  • Experience with agentic frameworks (LangGraph, Agenta, Dspy, CrewAI).
  • Familiarity with context engineering literature and frameworks.
  • Non‑Technical Requirements

  • Desire to take ownership of a problem and demonstrate leadership.
  • Team player enthusiastic about interdisciplinary collaboration.
  • Capable of critical, independent thought.
  • Able to communicate technical concepts clearly and advise on AI applications.
  • Intellectual curiosity and willingness to learn new techniques.
  • Benefits & Perks

  • Mentorship from an Amii Scientist for the duration of the project.
  • Professional development activities and access to the Amii community and events.
  • Paid work at a fair and equitable rate.
  • Opportunity to transition into a full‑time role at Thrive (client’s discretion).
  • Build your professional network.
  • About Amii

    Amii is one of Canada’s three main institutes for artificial intelligence. Our world‑renowned researchers drive fundamental and applied research at the University of Alberta and collaborate with businesses to translate scientific advances into industry adoption and economic impact.

    How to Apply

    Send your resume and cover letter indicating why you think you’d be a fit. Include one professional accomplishment you’re most proud of. The application deadline is January 19 2026.

    Equal Opportunity Statement

    Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals regardless of ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability‑related needs are available upon request.

    Job Details

    Seniority level : Internship. Employment type : Full‑time. Job function : Engineering and Information Technology. Industries : Research Services.

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    Machine Learning • Edmonton, Division No. 11, CA

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