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Machine Learning Assistant Jobs in Vancouver, BC

ALS

Logistics Assistant

North Vancouver, BC · On-site

CA$25.58 - CA$28.62/hr

Extensive walking or movement, bending, kneeling, and working with machines; * Ability to sit and ... Learning & development opportunities (unlimited access to e-learnings and more) Please note:

Wajax

General Labourer -Yard Person

Langley, BC · On-site

This role involves organizing machinery, assisting with loading, unloading, inspecting, and ... Inventory Support: Assist the parts and sales teams with verifying equipment serial numbers.

Liberty Tire Recycling

Production Line Operator

Delta, BC · On-site

CA$28.15/hr

... * Assist in monitoring, checking and adjusting machinery * Tie, hang bags, remove bag weights ... On-the-Job Training, and opportunity for continued learning * Safety Training, Programs and ...

Liberty Tire Recycling

Production Line Operator

Delta, BC · On-site

CA$28.15/hr

... * Assist in monitoring, checking and adjusting machinery * Tie, hang bags, remove bag weights ... On-the-Job Training, and opportunity for continued learning * Safety Training, Programs and ...

Cleantech Service Group

Ground Labourer

Tsawwassen, BC · On-site

CA$20 - CA$22/hr

... learning new skills, and working as part of a small team. The successful candidate will assist with ... Ability to work safely around tools, equipment, vehicles, and machinery. * Respectful and ...

Cleantech Service Group

Ground Labourer

Tsawwassen, BC · On-site

$20 - $22/hr

... learning new skills, and working as part of a small team. The successful candidate will assist with ... Ability to work safely around tools, equipment, vehicles, and machinery. * Respectful and ...

Venturis Capital

Sales Administrator

Surrey, BC · On-site

CA$50K/yr

Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North ... With a focus on learning and continuous improvement, we are proud to invest in our people and offer ...

Venturis Capital

Sales Administrator

Surrey, BC · On-site

CA$50K/yr

Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North ... With a focus on learning and continuous improvement, we are proud to invest in our people and offer ...

Venturis Capital

Sales Administrator

Surrey, BC · On-site

CA$50K/yr

Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North ... With a focus on learning and continuous improvement, we are proud to invest in our people and offer ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Vancouver, BC

Machine Learning Assistant information

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in Vancouver, BC?

The most popular types of Machine Learning jobs in Vancouver, BC are:

What job categories do people searching Machine Learning Assistant jobs in Vancouver, BC look for?

The top searched job categories for Machine Learning Assistant jobs in Vancouver, BC are:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Applied AI Software Engineer

Photonic

Coquitlam, BC

Full-time

Medical, Dental, Life

Re-posted 11 days ago

Job description

Description
As an Applied AI Software Engineer at Photonic, you will play a key role in identifying and delivering high-impact applications of Artificial Intelligence (AI) and Machine Learning (ML) across our Development and Engineering (D&E) organization. You will work closely with scientists, software engineers, and technical leaders to translate complex technical workflows into practical, trusted, and scalable AI-enabled solutions. In this role, you will help accelerate areas such as automation, technical analysis, knowledge retrieval, and engineering productivity in support of Photonic’s mission to build the world’s first universal scale quantum computer. This is an ideal opportunity for someone who thrives in a highly technical, cross-functional environment and wants to shape how AI is applied in a rigorous and security-conscious setting.

WHAT WE NEED YOU TO DO
  • Identify high-value opportunities to apply AI, ML and DL across Photonic’s technical workflows, with a focus on research, development and engineering.
  • Lead engineers through the design, prototyping, development and deployment of AI-enabled tools that support quantum and other technical workflows.
  • Prioritize AI initiatives based on technical feasibility, business value, adoption potential, and risk.
  • Establish evaluation methods and benchmarks to determine whether AI solutions are accurate, useful, and trustworthy in production settings.
  • Partner with scientists, engineers, and technical leaders to understand difficult problems and determine where AI, ML and DL can materially improve outcomes.
  • Integrate AI capabilities into existing software platforms, engineering workflows, and technical processes where appropriate.
  • Advise technical opportunities, tradeoffs, risks, and outcomes clearly to both technical and non-technical stakeholders.
  • Help shape AI standards, governance, and safe usage practices in partnership with relevant stakeholders.
  • Mentor teams in the practical use of AI methods, tools, and workflows.

WHAT YOU BRING TO OUR TEAM
  • Graduate degree in Computer Science or Engineering or Physics with a focus on AI, ML, or DL, or the equivalent combination of education and experience.
  • Deep understanding of modern neural network architectures and model families and when each is appropriate for different problem classes.
  • 5+ years of experience developing, improving and applying AI/ML/DL models within scientific computing, advanced engineering, semiconductor, quantum, or similar technical environments.
  • Experience applying AI/ML/DL models for optimization, search, simulation-driven workflows, or design space exploration (DSE).
  • Experience with secure enterprise AI deployment, model evaluation, and AI governance.
  • Strong software engineering background with experience designing and delivering production-quality systems.
  •  Demonstrated ability to work effectively in ambiguous, research-heavy, or technically complex environments.
  • Excellent communication skills, including the ability to clearly explain complex technical concepts to senior technical talent.
  • Outstanding collaboration skills and the ability to build credibility across diverse technical teams.
  • Nice to have – experience with any of the following: group algebra, group theory, graph theory, representation theory, quantum error correction, quantum compiling.

WHY YOU SHOULD WORK WITH US
  • Work closely with some of the brightest innovators in quantum technologies to drive breakthroughs that redefine computing
  • Enjoy a fast-paced and fun environment where you can try new things while solving innovative challenges every day
  • Inclusive company culture that values collaboration
  • Regular social events and fun activities keep our global team connected
  • Competitive compensation package including base salary, stock options, and relocation assistance for global talent
  • Comprehensive benefits including extended health, dental, life, long term disability, an employee assistance program, parental leave top-ups, and a flexible spending account

The description above is what we think an ideal candidate would look like for this role. At Photonic, we understand that everyone has a different work and life journey. If you feel your experience is close to what we've described, but you might not meet all the requirements, please still apply! All roles listed are for current vacancies. While artificial intelligence (AI) tools may be used to assist in reviewing applicant profiles, they do not determine candidate outcomes. Our hiring decisions are made by people, not algorithms. We are committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion. We embrace and encourage our employees’ differences, knowing that these very differences inspire innovation and build better teams. If there are any accommodations our team can make throughout our hiring process, please let us know.