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Computer Vision/Machine Learning Research Manager

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City Of London

Hybrid

GBP 80,000 - 100,000

Full time

Today
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Job summary

A leading technology firm in London is seeking a Research Engineering Manager. You will oversee a team focused on innovative data compression solutions, applying your expertise in AI and C++. Ideal candidates will possess strong leadership abilities, excellent communication skills, and a passion for advancing research. This role allows for hybrid work and offers an exciting opportunity to drive significant projects in a dynamic environment.

Qualifications

  • Experience in designing and developing data compression solutions, AI/ML technologies.
  • Proven ability to manage and mentor a skilled team.
  • Excellent written and verbal communication skills.

Responsibilities

  • Manage day-to-day activities of the Research Group.
  • Mentor and develop engineers through regular meetings.
  • Lead design of algorithms for data compression systems.

Skills

Leadership
Communication Skills
Technical Expertise
Flexibility
Deep understanding of data compression technologies

Tools

Python
C++
Agile development methodologies
JIRA
GIT
Job description
Overview

Job Description

Research Engineering Manager

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
  • 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 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.
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