AI Research Engineer
TELUS Digital
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Tech Stack
About the role
- 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
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