Overview

AI Research Intern, PhD Summer Jobs in Ottawa, Canada at Assent

Title: AI Research Intern, PhD Summer

Company: Assent

Location: Ottawa, Canada

Category:

Position: AI Research Intern, PhD (Full Time- Summer)

Company Description

Assent is the leading AI native platform for supply chain sustainability and compliance, trusted by complex manufacturers and distributors around the world. Built and backed by experts who have led global compliance programs, our unified platform combines advanced AI, regulatory expertise, and the world’s largest supply chain data network to help organizations reduce risk, lower operational costs, and build trust across every tier of the value chain.

From human rights and responsible sourcing to PFAS reporting and Digital Product Passports, Assent transforms regulatory complexity into actionable insights that drive real business outcomes.

With over 900 team members across India, North America, Malaysia, the EU, and Kenya and more than 1,000 customers globally, Assent brings together global perspective and deep domain expertise. Our hybrid work model enables teams to collaborate effectively across regions while staying connected to the communities where they live and work. As a certified B Corporation, we meet rigorous standards of social and environmental performance, transparency, and accountability.

This reflects our commitment to building technology that drives business performance while creating long-term value for people and the planet.

People First. Technology Forward.

Our commitment to People, Culture & Community (PCC) is rooted in building a diverse, inclusive, and high-performing team. We recruit and retain team members with a range of backgrounds, experiences, and perspectives, while fostering a culture of belonging where all Assentees are respected, supported, and empowered to contribute.

As we continue to embed AI into how we work, we do so thoughtfully, enhancing human potential, supporting better decision-making, and prioritizing appropriate oversight, privacy, and fairness.

At Assent, we value your privacy and are committed to maintaining transparency in how we handle your personal information. As part of our talent acquisition and management processes, we may use AI technologies to support activities such as resume screening, candidate communication, and talent analytics.

Job Description

We are looking for a PhD-level AI Research Intern who will work Full Time for an 4-month summer term to join Assent’s AI & Innovation team. This internship is ideal for researchers who enjoy building and experimenting and who want to apply LLM agent research to impactful, production-oriented use cases.

You will explore how LLMs can act as intelligent agents, autonomously reasoning, planning, and collaborating across data systems to solve complex enterprise problems. Your work will directly contribute to the design and prototyping of next-generation AI features that enhance Assent’s sustainability and compliance platform.

Eligible candidates will be asked to submit details regarding their relevant knowledge and experience, in addition to a resume, during the application process. These details are highlighted at the end of the job ad.

  • Hands-on experience developing LLM-driven prototypes in a real-world enterprise environment.
  • Exposure to challenges of AI alignment, observability, and deployment in production ecosystems.
  • Mentorship from senior AI and MLOps engineers working on cutting-edge AI and LLMOps frameworks.
  • Opportunity to shape AI features that directly impact global supply chain sustainability.
  • Research and prototype LLM-based agent architectures, exploring task decomposition, reasoning, and collaboration between agents.
  • Implement and evaluate proof-of-concept AI systems using open-source or proprietary LLM models and frameworks..
  • Develop scalable experiment pipelines to assess model behavior, safety, and reliability.
  • Build and optimize Python-based backend components, including prompt chains, vector stores, and evaluation tooling.
  • Integrate prototypes with internal data systems and APIs, simulating realistic enterprise environments.
  • Collaborate with ML engineers and product teams to define success metrics and transition promising prototypes toward production.
  • Document findings in internal research reports, technical memos,…
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