1

Artificial Intelligence Machine Learning Engineer Jobs in British Columbia

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 ...

Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... Engineering, Molecular Biology, or a related discipline, with a minimum of three years of relevant ...

Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... Engineering, Molecular Biology, or a related discipline, with a minimum of three years of relevant ...

We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people ...

We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people ...

Design and deploy machine learning models to identify anomalies, malware, and zero-day threats ... how artificial intelligence works Mindset: o Great communication skills and a team player. o ...

Design and deploy machine learning models to identify anomalies, malware, and zero-day threats ... how artificial intelligence works Mindset: o Great communication skills and a team player. o ...

Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification ... D. in Geophysics, Geology, Geological Engineering, Mineral Engineering, Data Science, Computer ...

... Artificial Intelligence. We are transforming the surveillance landscape, and our team is leading ... machine learning pipelines, intelligent workflows, and automated decision-making. Beyond core ...

Showing results 41-60

Artificial Intelligence Machine Learning Engineer information

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in British Columbia?

For Artificial Intelligence Machine Learning Engineer jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in British Columbia look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in British Columbia are:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in British Columbia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

Applied AI Software Engineer

Photonic

Coquitlam, BC

Full-time

Medical, Dental, Life

Re-posted 21 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.