Senior Algorithm Engineer, AI

Comm100; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Job summary

Comm100, a leader in digital customer engagement, is seeking a Senior Algorithm Engineer, AI to enhance AI Assistant capabilities. This role involves researching AGI technologies, developing AI features, and collaborating with engineering teams. Ideal candidates will have a strong background in AI/ML, proficient coding skills, and a passion for innovation in customer engagement.

Benefits

Competitive compensation

Flexible working environment

Quarterly team-building events

Opportunities for professional learning and growth

Qualifications

• 3+ years of experience in AI/ML engineering focused on generative AI.
• Proficiency in Python and knowledge of advanced machine learning techniques.
• Experience with data preprocessing, model training, and deployment.

Responsibilities

• Research key capabilities leading to AGI and track advancements in AI/ML.
• Develop robust AI features leveraging generative AI frameworks.
• Collaborate with cross-regional engineering teams for effective communication.

Skills

Analytical skills

Problem-solving

Python

TensorFlow

PyTorch

Education

Bachelor’s degree in Computer Science

Tools

Pandas

sklearn

LoRA

DeepSpeed

TensorRT

Job description

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Who We Are

Comm100 is an award-winning digital customer engagement platform, enabling organizations to better engage, convert and support their customers online. Established in 2009, Comm100 serves over 10,000 clients globally including HP, Rackspace, Government of Canada, Google, Stanford University, and many more. We believe that our work is never done as long as there are customers in a queue. We don’t sleep until we find the smartest, most efficient way to communicate, answer questions, and solve problems.

What We Believe

At Comm100, we strongly believe that the success of a company depends entirely on its people. We seek self-motivated team players who will appreciate a performance-driven work environment, rooted in creativity, personal development, integrity and open communication. We work hard but always make time for fun.

What We Offer

• Competitive compensation
• Flexible working environment and office hours
• Quarterly fun and interactive team-building events
• Opportunities for professional learning, growth, and career advancement

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.
• 3+ 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.

Location: This position is a fully on-site role.

We sincerely thank all applicants for their interest; however, only shortlisted candidates will be contacted. Applicants must be eligible to work in Canada.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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