AI Systems Researcher: On-Device ML for Privacy (Hybrid UK) in London

AI Systems Researcher: On-Device ML for Privacy (Hybrid UK) in London

London Full-Time 63000 - 77000 Β£ / year (est.) Hybrid
B

At a Glance

  • Tasks: Shape AI performance evaluations and optimise on-device ML for privacy solutions.
  • Company: Join Brave, a leader in privacy-focused technology.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and security.
  • Why this job: Make a real impact on privacy-preserving AI while working with cutting-edge technology.
  • Qualifications: PhD in CS preferred, with experience in AI systems and performance evaluation.

The predicted salary is between 63000 - 77000 Β£ per year.

Brave is seeking an experienced AI Systems Researcher/Engineer in London (hybrid) to shape performance evaluations and optimizations across desktop and mobile.

You will work on browser ML models, on-device AI agents, and privacy-preserving AI solutions, collaborating with privacy and security researchers to mitigate risks.

The role favors a Ph D in CS and a disciplined scientific approach, with a track record in AI systems, performance evaluation, and open-source development.

#J-18808-Ljbffr

AI Systems Researcher: On-Device ML for Privacy (Hybrid UK) in London employer: Brave

Evolve Commercial is an exceptional employer that champions a culture of trust and support, allowing talented individuals to thrive in their roles. With a focus on meaningful work in the technology and defence sectors, employees enjoy competitive salaries, performance bonuses, and extensive benefits including private healthcare and generous leave. The hybrid working model, combined with opportunities for professional growth and direct client engagement, makes Evolve a standout choice for those seeking a rewarding career in consultancy.

B

Contact Details:

Brave Recruitment Team

We think you need these skills to ace AI Systems Researcher: On-Device ML for Privacy (Hybrid UK) in London

Performance Evaluation
Optimisation Techniques
Machine Learning Models
On-Device AI Development
Privacy-Preserving AI Solutions
Collaboration with Privacy and Security Researchers
Scientific Research Methodology