Research Engineer, A.I. Research Team

To apply for the Research Engineer role at Foundry, you'll need a post-graduate degree in Engineering or Computer Science, such as an MSc or PhD, or equivalent experience. Strong knowledge of machine learning for image processing and a solid understanding of algorithm development are paramount. Familiarity with post-production processes will also serve you well in this position.

The Research Engineer position at Foundry provides the opportunity to bridge the gap between groundbreaking academic research and practical software development in the visual effects industry. You'll be shaping the future of filmmaking by developing state-of-the-art technology that transforms visionary concepts into market-ready solutions.

As a Research Engineer at Foundry, proficiency in Python is essential. Additionally, knowledge of machine learning frameworks such as TensorFlow or PyTorch will be invaluable. Experience with C++ and traditional computer vision algorithms is a plus, as is familiarity with cross-OS development across Linux, Windows, and Mac.

In the Research Engineer role at Foundry, you'll work on diverse projects that involve developing innovative features for our software products. This spans from creating prototypes and proof-of-concept solutions to gathering feedback from clients and refining tools for final product deliveries, directly impacting the filmmaking industry with cutting-edge technology.

At Foundry, the work culture is dynamic and inclusive, with a strong emphasis on collaboration and innovation. We encourage freedom of expression and the sharing of ideas to foster a trusting environment. As a Research Engineer, you'll be part of a supportive team committed to professional growth and creative problem-solving in the visual effects industry.

Foundry offers a competitive benefits package to its Research Engineers, including 25 days of holiday plus bank holidays, a pension scheme, health cash plans, and gym discounts. Additionally, employees enjoy personal development time and special days off for anniversaries and personal passions.

Foundry prioritizes employee development through personal annual development time and encourages continuous learning. The environment fosters collaboration and the exchange of technical knowledge, ensuring that Research Engineers have opportunities to grow their skills and advance in their careers.

When answering this question, be specific about projects you've worked on and the machine learning tools you employed. Discuss the algorithms you utilized, any challenges faced, and how you overcame them to achieve desired outcomes in image processing tasks, showcasing a blend of practical and theoretical knowledge.

In your response, detail your systematic approach to algorithm development, starting from problem identification, research, and concept formulation, to coding and testing. Highlight your collaborative efforts with the team and how you incorporate feedback from initial prototypes to refine your algorithms.

Emphasize the importance of collaboration in your previous roles. Discuss how team dynamics enhance problem-solving, foster innovation, and improve project outcomes. Provide examples where teamwork led to successful project completions or breakthroughs in technology.

In your response, talk about the coding practices you follow, such as code reviews, testing methodologies (unit tests, integration tests), and adopting best coding standards to create reliable and maintainable code. Mention any tools or platforms you use to facilitate this process.

Prepare to discuss a specific technology or application where you created a prototype. Outline the project’s goal, the process of prototyping, the feedback received, and the final implementation. This showcases your ability to innovate and iterate based on user insights.

Share your passion for the visual effects industry by tying it to your personal interests and experiences. Talk about the advancements you find most fascinating and how they inspire you to contribute your skills as a Research Engineer to shape the industry's future.

Discuss your strategies for keeping current with advancements, such as attending conferences, participating in webinars, reading relevant blogs and journals, or engaging with online communities. This illustrates your dedication to continuous learning and professional development.

Be prepared to discuss a specific challenge you faced during algorithm development. Mention the issue, how you approached it, the steps you took to find a solution, and the lessons learned that have improved your future work.

Outline your method for task prioritization, which might include deadline management, project importance, and stakeholder input. Give examples of how you effectively handled multiple projects simultaneously while still delivering high-quality work.

Discuss the communication tools and practices you use to maintain clarity and collaboration within the team. Focus on how active listening, regular updates, and constructive feedback contribute to a cohesive team atmosphere and enhance project success.