Applied Scientist
Conducts research and develops NLP and LLM-powered capabilities for real-time voice agents, retrieval, and business communications products. The role requires a Master’s or PhD and industry NLP experience, along with Python, PyTorch, and modern LLM expertise.
About the job
Responsibilities
- Develop, implement, and refine state-of-the-art Natural Language Processing and machine learning algorithms for products.
- Conduct rigorous evaluation and monitoring of model performance, and troubleshoot issues with an understanding of business impacts.
- Manage massive textual datasets.
- Build advanced LLM-based features, including reasoning, multilingual and multimodal processing, and agents.
- Collaborate with engineering, product, and design teams to deploy and scale models and algorithms in production.
- Submit papers to top-tier academic conferences and journals, and review submissions to contribute to the scientific community.
Requirements
- Master’s or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or a related field.
- 2+ years of NLP industry experience for Master’s degree holders, or 1+ year for PhD degree holders.
- Experience with machine learning, Python, PyTorch, and related tools and technologies.
- Broad understanding of current LLM architectures and techniques for tuning and optimizing LLMs.
- Strong problem-solving and analytical abilities.
- Excellent communication and collaboration skills.
- Familiarity with version control tools such as Git.
Compensation
- Ontario target base salary: $145,500–$172,500 CAD.
- Compensation reflects base salary only and excludes bonus, equity, and benefits.
- Benefits include competitive perks, training, and opportunities for growth.
Skills
Natural Language Processing, Machine Learning, Python, PyTorch, Llm Architectures, Llm Fine-Tuning, Multimodal Processing, Multilingual Processing, Git, Model Evaluation
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