AI Research Engineer

TELUS Digital

AI Research Engineer conducting independent ML research and contributing to the team's core assets. Involves designing complex experiments and contributing high-quality code for the organization's projects.

Posted 4/11/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

React

About the role

Key responsibilities & impact

Independently own and execute specific research tasks or sub-projects.
Design and implement complex experiments to test new hypotheses.
Analyze and interpret results to draw clear conclusions.
Contribute high-quality, reusable code to the team's repository.
Actively contribute to improving the internal benchmark by identifying data gaps and proposing new evaluation metrics.

Requirements

What you’ll need

PhD or Master's degree in Computer Science, Computational Linguistics, Machine Learning, or a related quantitative field.
3+ years of hands-on experience in applied NLP research or ML engineering.
Ability to operationalize subjective concepts into concrete guidelines.
Proven track record of translating complex technical requirements for non-technical stakeholders.
Deep theoretical and practical understanding of Transformer architectures, Attention mechanisms, Positional Embeddings, and Tokenization strategies.
Extensive experience with the post-training stack: Supervised Fine-Tuning and Preference Alignment techniques.
Experience with noisy label handling and identifying semantic bias in large-scale datasets.
Understanding Function/Tool Calling, ReAct frameworks, and evaluating "trajectory" quality.
Experience designing LLM-as-a-Judge pipelines and reference-free metrics.

Benefits

Comp & perks

Equal Opportunity Employer
Inclusive workplace culture

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills & Tools

NLP researchML engineeringTransformer architecturesAttention mechanismsPositional EmbeddingsTokenization strategiesSupervised Fine-TuningPreference Alignment techniquesnoisy label handlingsemantic bias identification

Soft Skills

independent executionanalytical skillsclear communicationtranslating technical requirementsoperationalizing concepts

Certifications

PhD in Computer ScienceMaster's degree in Computer Science