Computer Vision/Machine Learning Research Manager

As a Research Engineering Manager, you will:

Leadership: Manage the day-to-day activities of the Research Group, ensuring timely project delivery, team performance, and recruitment of top talent.

People Development: Actively mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing any concerns.

Technical Leadership: Lead the design of algorithms and software for data compression systems, guiding your team in developing cutting-edge solutions.

Documentation: Create and maintain technical documentation, including project reports, white papers, and intellectual property (IP) capture

Process Improvement: Continuously enhance the Research Group's processes and tools, driving efficiency and quality across the department.

We are seeking a driven and experienced Technical Manager to lead our clients research group. You will guide groundbreaking research projects in areas such as video and point cloud compression, AI/ML Applications & algorithm optimization for both performance and visual quality., Passion for Research: A deep enthusiasm for advancing research in a dynamic environment.

Pragmatism: A passion for hypothesis-driven innovation, enabling rapid cycles of iteration and fast-tracked delivery of Minimum Viable Products.

Technical Expertise: Experience in designing and developing data compression solutions, AI/ML technologies, and/or C++ development.

Leadership Skills: Proven ability to manage and mentor a skilled team, driving projects to completion within commercial deadlines.

Communication Skills: Excellent written and verbal communication, including technical documentation and project reporting.

Flexibility: Ability to thrive in an innovative, cross-functional environment where initiative and adaptability are key.

Deep understanding of data compression technologies, including lossy/lossless compression, quality metrics, and colour spaces.

Knowledge of the end-to-end software development lifecycle, with experience collaborating across teams.

Proficiency in Python and C++ software development.

Experience with parallel processing programming.

Understanding of standardization processes and standard-developing organizations (SDOs).

Beneficial to have:

Knowledge of objective Visual Quality (VQ) assessment techniques.

Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI.

Experience in Intellectual Property development.

Experience presenting research findings at conferences and within video-centric forums.

Contribution to standard-developing organizations (SDOs).

Experience with Agile development methodologies and tools like JIRA.

Proficiency in software development tools such as GIT.

MicroTECH Global are working with a company who are at the forefront of parallel data compression, with deep expertise in AI, data compression & XR (extended reality) They have developed multiple award-winning software products that are transforming industries such as TV, Live event production, Entertainment, Social Networks, Media, Aerospace, Automotive & Gaming They achieve their goals by keeping our innovation cycle as agile and flexible as possible, with continuously testing and challenging assumptions. Thanks to the unique technology within the in-house testing facilities, they quickly pass from ideas to implementations.