Research Manager (Computer Vision/Machine Learning)

ZipRecruiter; London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading company in London is seeking a Research Engineering Manager to lead innovative research projects in data compression and AI/ML applications. The role involves managing a skilled team, driving project delivery, and fostering a culture of technical excellence. Ideal candidates will have a strong background in data compression technologies, leadership skills, and proficiency in Python and C++. Join a dynamic environment where your ideas can shape the future of technology.

Qualifications

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

Responsibilities

• Manage the day-to-day activities of the Research Group.
• Lead the design of algorithms and software for data compression systems.
• Continuously enhance the Research Group’s processes and tools.

Skills

Leadership

Communication

Flexibility

Pragmatism

Tools

Python

C++

JIRA

GIT

Job description

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:

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 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.