Sr. Machine Learning Algorithm Engineer

Collavion; Vancouver; Hybrid; CAD 110,000 - 185,000; Full time

Job summary

A leading recruitment partner, Collavion, is hiring for a Senior Machine Learning Algorithm Engineer in Vancouver. This role emphasizes algorithm innovation and model development, ideal for candidates with a strong background in ML and advanced degrees. You'll work in a hybrid environment alongside talented professionals to push the boundaries of AI technology.

Qualifications

• 5+ years experience in machine learning R&D focused on algorithm design.
• Strong knowledge of deep learning frameworks.
• Publication history in top-tier ML/AI conferences is highly desirable.

Responsibilities

• Design and develop new ML models and algorithms using experimental techniques.
• Collaborate with interdisciplinary teams to align model development with creative goals.
• Conduct deep experimentation with architecture and training methods.

Skills

Machine Learning

Algorithm Design

Artificial Intelligence

Deep Learning

Reinforcement Learning

Computer Vision

Natural Language Processing

Research

Education

PhD or Master’s degree in Computer Science

Applied Math

Tools

PyTorch

TensorFlow

JAX

Job description

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This range is provided by Collavion. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$110.00/yr - CA$185.00/yr

Position: Senior Machine Learning Algorithm Engineer

Location: Hybrid – Downtown Vancouver, BC

Employment Type: Full-Time

Client Industry: Creative Tech

About Collavion

Collavion is a forward-thinking recruitment and talent solutions partner serving diverse sectors including healthcare, finance, AI, gaming, and manufacturing/logistics. We connect high-potential talent with cutting-edge organizations to fuel innovation and long-term success.

We’re currently hiring on behalf of a visionary client at the intersection of AI research, creative technology, and digital innovation. To support their core algorithmic development, we're looking for a Senior Machine Learning Algorithm Engineer, who can develop and train sophisticated models using unconventional and experimental ML approaches.

Position Overview

This is not a deployment or infrastructure role. As a Senior Machine Learning Algorithm Engineer, you will focus on developing novel models from scratch, experimenting with non-conventional architectures, and pushing the boundaries of what’s possible in areas like computer vision, natural language processing, reinforcement learning, and large language models.

You’ll work closely with other engineers, designers, artist and creative teams to build foundational ML capabilities, drive original experimentation, and support proof-of-concept development in a research-style, iterative environment.

Key Responsibilities

Algorithmic Innovation, Model Prototyping, Research & Experimentation, Cross-Disciplinary Collaboration

• Design and develop new machine learning models and algorithms using state-of-the-art and experimental techniques
• Explore and apply methods across LLMs, computer vision, NLP, generative models, and reinforcement learning
• Conduct deep experimentation with architecture, optimization, and training methods using both standard and unconventional datasets
• Collaborate with interdisciplinary teams to inform problem definition and align model development with creative or applied goals
• Contribute to internal research libraries, technical knowledge sharing, and experimental frameworks
• Stay abreast of cutting-edge ML publications and apply insights to real-world prototyping
  
  

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field
• 5+ years of hands-on experience in machine learning R&D, with a focus on algorithm design rather than production systems
• Strong knowledge of deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
• Track record of research in areas like transformers, generative AI, multimodal learning, few-shot learning, or unsupervised/self-supervised learning
• Demonstrated ability to create models from first principles, beyond using prebuilt solutions
• Familiarity with handling complex and high-dimensional data such as images, text, audio, or sequences
• Publication history in top-tier ML/AI conferences (NeurIPS, CVPR, ICLR, ACL, etc.) is highly desirable
• Strong mathematical intuition and comfort with working in research-style, exploratory environments
• Located in Vancouver or willing to relocate; able to work hybrid from the client’s downtown office
  
  

Why This Role?

• Collaborate with leading minds in AI to solve open-ended, high-impact challenges
• Work in an environment that values research, originality, and experimental thinking
• Be part of a client team shaping the future of creative and generative AI systems
• Enjoy hybrid flexibility while being immersed in a culture of innovation
• Contribute to ideas that may lead to papers, patents, or entirely new product capabilities
  
  

Interested in building the next generation of machine learning algorithms?

Send your resume and a summary of your ML research focus or portfolio to [e-mail] or apply directly through our career portal.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Media

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