Sr. Algorithm Engineer, AI

Comm100; Vancouver; On-site; CAD 80,000 - 120,000; Full time

Benefits offered by this job

Health & Dental Benefits

RRSP Matching Program

Health & Wellness Fund

On-site gym and amenities

Training and Development Fund

Quarterly team-building events

Job summary

A leading tech company is looking for a Senior Algorithm Engineer in Vancouver to advance AGI capabilities through innovative research and development in generative AI technologies. The ideal candidate possesses a Bachelor's degree and at least 2 years of relevant experience in AI/ML engineering. Responsibilities include data construction, algorithm optimization, and collaboration with diverse teams. The role offers a competitive salary and comprehensive benefits like health plans and a modern office environment.

Qualifications

• 2+ years of experience in AI/ML engineering focused on generative AI technologies.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work in a team environment.

Responsibilities

• Research capabilities leading to AGI and track advancements in LLM.
• Develop robust AI features using various frameworks.
• Engage in AI Assistant data construction and algorithm optimization.
• Write clean, high-performance code for Algorithm reliability.
• Collaborate with engineering teams and communicate with stakeholders.

Skills

Generative AI technologies

Prompt engineering

Python

TensorFlow

PyTorch

Data preprocessing (Pandas)

Feature engineering

Model training

Model deploying

Analytical skills

Education

Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field

Job description

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.