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Machine Learning Assistant Jobs in Vancouver, BC

Warehouse Assistant

North Vancouver, BC · On-site

CA$21.48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Logistics Assistant

North Vancouver, BC · On-site

CA$25.58 - CA$28.62/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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:

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

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

Sales Administrator

Surrey, BC

CA$50K/yr

  • Medical

  • Dental

  • Vision

  • Life

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 ...

Sales Administrator

Surrey, BC

CA$50K/yr

  • Medical

  • Dental

  • Vision

  • Life

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 ...

Production Associate (PM Shift)

Burnaby, BC · On-site

CA$20.25/hr

  • Medical

  • PTO

Complete packaging assignments, paperwork and feeding machines/lines as assigned * Assist with set ... learning, and constantly strive to grow and improve. * Effective Communication - You effectively ...

Staff - Union Job Category CUPE 116 Job ProfileCUPE 116 Salaried - Research Assistant /Technician 2 ... learning for all faculty, staff and students. Our commitment to employment equity helps achieve ...

... learning, engagement and career advancement. Are you ready to join a successful team where your ... Work with the R&D team to develop and refine new and existing products; * Assist in establishing ...

Showing results 21-40

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:

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.

AI Engineer - Full Stack Agentic UX

Royal Bank of Canada

Vancouver, BC • On-site

Full-time

Posted 3 days ago

New


Job description

Job Description

What is the Opportunity?

An enterprise AI platform that orchestrates knowledge, governance, and multi-step agent workflows is only as valuable as the experiences built on top of it. You will design and build those experiences: the agentic capabilities/skills, integrations, and conversational interaction patterns that turn platform infrastructure into productivity gains practitioners can see and trust. As organizations move from AI assistants to semi-autonomous and autonomous agents, the experiences you deliver will determine whether teams adopt AI or walk away from it.

Candidates best suited bring full-stack engineering depth, empathy for how humans interact with AI, and the ability to design workflows that earn trust within a regulated financial services environment.

What will you do?

Design and develop human-agent interaction patterns atop the platform, applying principles of progressive autonomy, intent previews, and explainable rationale so practitioners stay in control while the AI manages technical complexity

Build full-stack AI-driven capabilities that leverage the platform orchestration layer to automate complex workflows, calibrating the right level of human-AI coordination for each task, whether collaborative, automated, or discretely assisted

Design trust and transparency mechanisms including confidence signals, action audit trails, and escalation pathways that give users visibility into what the AI is doing and why

Build enterprise integrations atop the platform that connect AI capabilities to corporate platforms including project management, collaboration, source control, and communication tools

Shape onboarding, progressive disclosure, and feedback patterns that make the platform accessible and trustworthy for diverse user personas across varying levels of AI familiarity

Design and implement the capability development lifecycle from authoring and testing through quality validation and deployment, enabling a scalable catalog of platform-powered workflows

Create extensibility models that allow teams and community contributors to author, share, and deploy custom capabilities atop the platform

Partner with platform engineering to ensure capabilities and integrations align with the orchestration, governance, and distribution infrastructure

What do you need to succeed?Must Have

Full-stack Python and/or TypeScript engineering background with experience building production-grade user-facing tools and integrations

UX design sensibility with the ability to translate complex agentic workflows into simple, accessible interaction patterns for diverse user personas

Understanding of human-agent interaction principles including trust calibration, progressive autonomy, transparency, and user control in AI-driven experiences

Familiarity with AI/LLM-powered tools, prompt engineering, or agentic AI development patterns

Experience building integrations with enterprise APIs (REST, GraphQL, SOAP) and corporate systems

Ability to work across cross-functional teams including solution architects, business analysts, and project managers

Nice to Have

Experience designing for AI-powered products such as copilots, agents, or intelligent workflow tools where user trust and transparency are central to the experience

Background in design systems, component architecture, or building AI-consumable design patterns

Experience in financial services technology or other regulated industries with governance and compliance requirements

Familiarity with developer experience tooling, internal developer platforms, or plugin ecosystems

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

Leaders who support your development through coaching and managing opportunities

Ability to make a difference and lasting impact

Work in a dynamic, collaborative, progressive, and high-performing team

A world-class training program in financial services

Flexible work/life balance options

Opportunities to do challenging work

Job Skills

Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-11

Application Deadline:

2026-08-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME