Research Manager (Computer Vision/Machine Learning)

microTECH Global LTD

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

14 days+
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Job summary

A leading technology company in London is seeking a Research Engineering Manager to oversee innovative projects in data compression and AI/ML. The role involves leadership, technical guidance, and mentoring within a dynamic research environment. Ideal candidates will have strong communication skills and experience in C++ and Python, along with a passion for advancing research in a collaborative setting.

Qualifications

  • Experience in data compression, AI/ML technologies, and C++ development.
  • Excellent communication skills for technical documentation and reporting.

Responsibilities

  • Manage daily activities of the Research Group, ensuring project delivery.
  • Mentor and develop engineers through regular 1:1s and feedback.
  • Lead algorithm and software design for data compression systems.

Skills

Leadership
Communication
Innovation
Flexibility

Tools

C++
Python
TensorFlow
JIRA
GIT

Job description

Direct message the job poster from microTECH Global LTD

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

What are we looking for:

MicroTECH Global is seeking unique individuals for a distinctive technology.

Are you a Research Engineering Manager passionate about technology and leading cutting-edge research that shapes the future of technology?

We are looking for a driven and experienced Technical Manager to lead our client's research group. You will oversee groundbreaking projects in areas such as video and point cloud compression, AI/ML applications, and algorithm optimization for performance and visual quality.

About the company:

MicroTECH Global collaborates with a company at the forefront of parallel data compression, with expertise in AI, data compression, and XR (extended reality). They have developed multiple award-winning software products transforming industries like TV, live events, entertainment, social networks, media, aerospace, automotive, and gaming.

Their innovation cycle is agile and flexible, with continuous testing and challenging assumptions. Their in-house testing facilities enable rapid progression from ideas to implementation.

Responsibilities:

As a Research Engineering Manager, you will:

  • Leadership: Manage daily activities of the Research Group, ensuring project delivery, team performance, and recruitment of top talent.
  • People Development: Mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing concerns.
  • Technical Leadership: Lead algorithm and software design for data compression systems, guiding your team in developing innovative solutions.
  • Documentation: Maintain technical documentation, including reports, white papers, and IP capture.
  • Process Improvement: Enhance research processes and tools to improve efficiency and quality.
Background and Experience:
  • Passion for research and advancing in a dynamic environment.
  • Pragmatism and hypothesis-driven innovation for rapid iteration and MVP delivery.
  • Experience in data compression, AI/ML technologies, and C++ development.
  • Leadership skills to manage and mentor a skilled team and drive projects to completion.
  • Excellent communication skills for technical documentation and reporting.
  • Flexibility to thrive in an innovative, cross-functional environment.
  • Deep understanding of data compression technologies, including lossy/lossless compression, quality metrics, and color spaces.
  • Knowledge of the software development lifecycle and cross-team collaboration.
  • Proficiency in Python and C++.
  • Experience with parallel processing programming.
  • Understanding of standardization processes and organizations (SDOs).
Beneficial to have:
  • Knowledge of objective Visual Quality assessment techniques.
  • Experience with TensorFlow, visual AI, and multimodal Generative AI.
  • Experience in IP development.
  • Experience presenting research at conferences and forums.
  • Contribution to SDOs.
  • Experience with Agile methodologies and tools like JIRA.
  • Proficiency in GIT.
Seniority level:
  • Mid-Senior level
Employment type:
  • Full-time
Job function:
  • Semiconductor Manufacturing

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