Materials Engineering Specialist - Intermediate

About the Role

The role entails working closely with cross-functional teams, including AI researchers, engineers, and quality control specialists. Your expertise will be essential in guiding the AI system to provide realistic and scientifically sound material suggestions. You will be part of a dynamic and innovative environment that values collaboration, creativity, and precision.

What You Will Do

• Verify the accuracy of material properties identified by the AI, such as strength, heat resistance, and weight.
• Review and validate the chemical and physical formulas used by the AI to describe material behavior.
• Provide expert advice on the suitability of materials suggested by the AI for specific applications and environments.
• Conduct quality control checks on technical data to ensure consistency and adherence to high scientific standards.
• Collaborate with the AI development team to improve the system's understanding of various materials and their properties.
• Analyze data from various sources to inform material selection and optimization.
• Develop and maintain technical documentation related to material properties and AI system performance.
• Participate in the development of new methods and tools for material analysis and AI training.
• Stay updated with the latest advancements in materials science and AI technologies to continuously improve the system's capabilities.

What We Are Looking For

• A minimum of a Bachelor’s Degree in Materials Engineering, Metallurgy, or a related field.
• Native-level proficiency in your primary language for assisting with technical documentation.
• Basic (B1) English proficiency to communicate findings and collaborate with the global team.
• Visual accuracy and the ability to read maps and recognize shapes and patterns in satellite photos.
• Strong analytical and problem-solving skills, with the ability to interpret complex data.
• Experience with quality control processes and technical documentation.
• Ability to work independently and as part of a remote team.

Nice to Have

• Experience with AI technologies and machine learning algorithms.
• Knowledge of programming languages such as Python or R.
• Familiarity with data analysis and visualization tools.
• Previous experience in a remote work environment.

Benefits and Perks

• Opportunity to work with a leading digital company and contribute to innovative projects.
• Flexible and remote work arrangements to fit your lifestyle.
• Access to a community wellbeing initiative and support for work-life balance.
• Potential for professional growth and development within the company.
• Opportunity to be part of a global team and collaborate with professionals from diverse backgrounds.
• Competitive compensation package and benefits.

• Enhance your materials science knowledge: Ensure you are up-to-date with the latest developments in materials science to effectively assess AI-generated material properties.
• Develop your analytical skills: Practice interpreting complex data and using analytical tools to stand out in this role.
• Improve your English communication skills: Since the role requires collaboration with a global team, enhancing your English proficiency will be beneficial.
• Prepare a portfolio of your work: Showcase your experience in materials engineering and any relevant projects you have worked on to demonstrate your expertise.
• Be ready to discuss your experience with quality control: Highlight any experience you have with ensuring technical accuracy and adherence to scientific standards in your previous roles.
• Research the company culture: Understand TELUS Digital’s values and mission to show your enthusiasm for the company and the role during the application process.
• Practice explaining technical concepts simply: Be prepared to communicate complex material properties and scientific principles in a clear and concise manner during interviews.