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Research Engineering Manager

MicroTECH Global Ltd
Posted 17 hours ago, valid for 11 days
Location

London, Greater London EC1R 0WX

Salary

£48,000 - £57,600 per annum

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Contract type

Full Time

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Sonic Summary

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  • MicroTECH Global is seeking a Research Engineering Manager with a salary of £120,000+ for a hybrid role in London, requiring three days onsite and two days remote work.
  • The ideal candidate will lead innovative research projects in areas including video and point cloud compression, AI/ML applications, and algorithm optimization.
  • Candidates should possess a strong background in designing data compression solutions, AI/ML technologies, and C++ development, along with proven leadership and mentoring skills.
  • The role emphasizes communication, process improvement, and technical documentation, with a focus on driving efficiency and quality within the research group.
  • Applicants should have a passion for research and a minimum of five years of relevant experience in the field.

JOB AD:

Research Engineering Manager

Salary - £120000+

Location - London / Hybrid (3 days onsite, 2 days remote)

What are we looking for:

  • MicroTECH Global are looking for unique people for a distinctive technology.
  • Are you a Research Engineering Manager, who has a passion for technology, with a love to lead cutting-edge new research ideas that shapes the future of Technology?
  • 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.

About the company:

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.

Responsibilities:

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.

Background and Experience:

  • 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.

If this is of interest to you, please contact me

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.