Senior Algorithm Engineer, AI
About the Role
Job Responsibilities
- Research key capabilities leading to AGI, track the latest academic and industry research achievements in LLM, and bring new technical ideas and methods to the business.
- Leverage generative AI Agentic frameworks (e.g., Llama-Index, AutoGen, Semantic Kernel, Langchain), workflow frameworks (e.g, Langgraph), and trace logging (eg. Langsmith, wandb, phoenix) to develop robust AI features.
- Deeply engage in key tasks such as AI Assistant data construction, LLM pre-training, fine-tuning, algorithm optimization, and model deployment.
- Research key technologies for the implementation of LLM such as RAG and Agent, explore a new generation AI Assistant architecture based on LLM, and continuously enhance AI Assistant question-answering effectiveness and user experience.
- Writing clean, high-quality, high-performance, maintainable, and thoroughly tested code to ensure Algorithm reliability and maintainability.
- Work closely with cross-regional engineering teams to facilitate communication and collaboration.
- Engage in direct communication with customers and business stakeholders to propose technical solutions and address product issues.
Job Requirements
- Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related field with a focus on Artificial Intelligence, Machine Learning or software engineering.
- 2+ years of experience in AI/ML engineering, with a strong focus on generative AI technologies, prompt engineering, vector databases and GenAI operationalizing
- Proficiency in Python, TensorFlow or PyTorch, Knowledge of advanced machine learning techniques, such as deep learning, reinforcement learning, and unsupervised learning.
- Experience with data preprocessing (Pandas), feature engineering (datasets, PyTorch), model training (sklearn, transformers, LoRA, DPO), model deploying (vLLM, DeepSpeed, TensorRT).
- Strong analytical and problem-solving skills with a keen interest in pushing the boundaries of AI and machine learning.
- Excellent communication skills and the ability to work effectively in a team environment.
Benefits
- Health & Dental Benefits
- RRSP Matching Program
- Health & Wellness Fund
- New office with full gym, massage chairs, and bike storage
- Training and Development Fund
- Quarterly team-building events
Salary: $80,000 - 120,000 CAD per year
Location: This position is a fully on-site role in our downtown Vancouver office.
Applicants must be eligible to work in Canada.
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