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Machine Learning Research Intern Jobs in British Columbia

Research: Stay updated on the latest advancements in generative AI technologies and methodologies ... Required Skills and Qualifications: * 6+ years of strong background in machine learning and deep ...

... machine learning algorithms, and the end-to-end MLOps lifecycle, including 5+ years of hands-on experience building and optimizing computer vision models or as a computer vision researcher. Proven ...

We have several research themes, including developing multi-modal, real-time agentic systems that ... Demonstrated experience with machine learning, Python, PyTorch, and other relevant tools and ...

Data Scientist II

Burnaby, BC · On-site

CA$128K - CA$144K/yr

About the Role: The Trust Machine Learning team protects Remitly's customers by developing ... A degree in data science, statistics, mathematics, operations research, or related field (or ...

Submit papers to top-tier academic conferences (ACL, EMNLP, NeurIPS) and contribute to the team's research culture. Skills you'll bring * Master's or PhD degree in Computer Science, Machine Learning ...

Design and deploy machine learning models to identify anomalies, malware, and zero-day threats ... in our IoC Research Team. Threat Intelligence: Analyze emerging threats and create IoCs.

Design and deploy machine learning models to identify anomalies, malware, and zero-day threats ... in our IoC Research Team. Threat Intelligence: Analyze emerging threats and create IoCs.

Leadership and Development Co-op

Logan Lake, BC · On-site

CA$4.1K - CA$4.8K/mo

Exposure to data science concepts such as statistical analysis, data modelling or machine learning is considered an asset * Previous experience with Microsoft Excel, Power BI, Learning Management ...

Intern, Civil Engineering

Vancouver, BC · On-site

CA$22.50 - CA$30.25/hr

Research applicable codes, standards, and regulations to support compliant and innovative ... Knowledge of engineering fundamentals and a willingness to apply classroom learning to real-world ...

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Showing results 41-60

Machine Learning Research Intern information

See British Columbia salary details

$19K

$121.8K

$222.5K

How much do machine learning research intern jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning research intern in British Columbia is $121,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $172,500.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

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

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in British Columbia?

For Machine Learning Research Intern jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Intern jobs in British Columbia look for?

The top searched job categories for Machine Learning Research Intern jobs in British Columbia are:

What cities in British Columbia are hiring for Machine Learning Research Intern jobs?

Cities in British Columbia with the most Machine Learning Research Intern job openings:

Infographic showing various Machine Learning Research Intern job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,818 per year, or $58.6 per hour.

Senior Technology Director, AI/ML Applied Science

lululemon

Vancouver, BC

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 18 days ago


Lululemon Athletica rating

7.3

Company rating: 7.3 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

11th of 104 rated fashion retailers


Job description

Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in.

As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. About this team The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to operate with intelligence at scale.

The team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon's vertically integrated retail ecosystem, while embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.

The Artificial Intelligence and Machine Learning (AI/ML) Research team is specifically responsible for exploring, developing, and advancing cutting-edge AI capabilities that will transform lululemon's future business growth. This team operates at the intersection of research and application-identifying emerging technologies, building new models, and translating complex business challenges into scalable AI-driven algorithms. Core responsibilities As a Senior Director, AI/ML Research and Science, you are accountable for advancing lululemon's AI capabilities through the research, development, and delivery of innovative AI models and solutions that drive measurable business impact.

This ole requires innovation at the intersection of solving complex business problems and extending the state-of-the-art to achieve high-performing AI solutions that transform the business. Reporting to senior technology leadership, you will lead a lean, highly specialized team of AI research and applied scientists focused on pushing the boundaries of applied AI, balancing forward-looking exploration (3-5 years out) with near-term business aspect. This role serves as a critical bridge between state-of-the-art AI research and enterprise business problems, translating evolving business needs into novel solutions and shaping the enterprise AI research roadmap in partnership with business stakeholders.

Select responsibilities include: AI Research & Innovation Define and drive a forward-looking AI research roadmap (3-5-year horizon) aligned to business priorities Explore emerging technologies, methods, and models to unlock future capabilities Lead the design, development, and optimization of complex AI/ML models. Business Problem Solving Translate complex business challenges into AI-driven solutions Partner with cross-functional leaders to identify high-impact use cases Ensure research outputs are aligned with tangible business outcomes Strategy & Influence Provide expert guidance that shapes the broader AI/ML research strategy Act as a thought leader across the organization in AI innovation Contribute to establishing lululemon's AI capabilities as a competitive advantage Partnership & Delivery Collaborate closely with AI Platform and Data teams to productionize solutions Ensure research innovations can be effectively integrated into business operations Balance experimentation with scalable, practical implementation Leadership & Team Development Lead, mentor, and grow a high-performing team of AI/ML research scientists Foster a culture of innovation, experimentation, and continuous learning Build an inclusive, collaborative environment aligned with lululemon's values Qualifications 10+ years of experience in AI/ML, with a strong emphasis on research and innovation Advanced degree (PhD preferred) in Computer Science, Machine Learning, AI, or related field with a strong publication record in peer-reviewed conferences and journals. Proven experience leading technical research teams in industry or academia Deep expertise in modern AI/ML techniques (e.g., deep learning, NLP, generative AI, optimization) Track record of developing novel models, frameworks, or applied research solutions Experience translating research into real-world business applications Strong collaboration experience with engineering and data platform teams must haves Acknowledge the presence of choice in every moment and take personal responsibility for your life

Possess an entrepreneurial spirit and continuously innovate to achieve great results. Communicate with honesty and kindness and create the space for others to do the same. Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.

Foster connection by putting people first and building trusting relationships. Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously. additional notes Authorization to work in Canada is required for this role compensation and benefits package lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance.

Thetypical hiring range for this position is from$223,500 - $293,350annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program and equity offerings, subject to program eligibility requirements. At lululemon, investing in our people is a top priority.

We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth: Extended health and dental benefits, and mental health plans Paid time off Savings and retirement plan matching Generous employee discount Fitness & yoga classes Parenthood top-up Extensive catalog of development course offerings People networks, mentorship programs, and leadership series (to name a few) Note: The incentive programs, benefits, and perks have certain eligibility requirements.

The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice. workplace arrangement In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

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