TELUS Digital
201 - 500 employees
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
TELUS Digital is an award-winning digital consultancy that combines human-centered design, software engineering, data science and generative AI to create AI‑fueled digital experiences and platforms for global brands. The company provides services in experience strategy, UX research and design, engineering and architecture, data science and engineering, digital marketing, and product/project delivery, and operates Fuel iX™, an enterprise-focused generative AI engine to help businesses move AI initiatives into production. TELUS Digital emphasizes a collaborative culture, global hiring, and accessibility in its hiring practices.
AI Research Engineer
🕒 April 11
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TELUS Digital
201 - 500 employees
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
TELUS Digital is an award-winning digital consultancy that combines human-centered design, software engineering, data science and generative AI to create AI‑fueled digital experiences and platforms for global brands. The company provides services in experience strategy, UX research and design, engineering and architecture, data science and engineering, digital marketing, and product/project delivery, and operates Fuel iX™, an enterprise-focused generative AI engine to help businesses move AI initiatives into production. TELUS Digital emphasizes a collaborative culture, global hiring, and accessibility in its hiring practices.
📋 Description
• 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
• 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
• Equal Opportunity Employer • Inclusive workplace culture
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