Sr. Machine Learning Algorithm Engineer

Appsierra Group; Electoral Area A; On-site; CAD 100,000 - 150,000; Full time

Job summary

A dynamic creative technology firm is seeking a Senior Machine Learning Algorithm Engineer to innovate and design algorithms from scratch. In this hybrid role, you will leverage advanced research techniques in AI, machine learning, and deep learning frameworks to develop groundbreaking models. The ideal candidate has extensive experience in algorithm R&D and a strong academic background, contributing to transformative ideas that may lead to publications and patents.

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.
• Strong knowledge of deep learning frameworks.

Responsibilities

• Design and develop new machine learning models and algorithms using state-of-the-art techniques.
• Conduct experiments with architecture, optimization, and training methods.
• Collaborate with interdisciplinary teams to align model development with goals.

Skills

Machine Learning R&D

Deep Learning Frameworks

Algorithm Design

Research Skills

Mathematical Intuition

Education

PhD or Master’s in Computer Science, AI, Applied Math

Tools

PyTorch

JAX

TensorFlow

Job description

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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.

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