AI Systems Researcher/Engineer

Brave
London
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Initiative","Scientific approach","Data-driven problem solving","Collaboration","Privacy and security focus"]

Join Brave to shape performance evaluations and optimizations for AI across desktop and mobile. You’ll help improve ML model performance for browser and on-device AI agents, build and deploy mobile/desktop systems, and work closely with privacy and security researchers to reduce AI risks. This role combines hands-on software development (Python, C++, JavaScript and/or Rust) with modern ML frameworks and privacy/security technologies in an open-source environment.

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FursaFursa
Brave
Brave
1 week ago

AI Systems Researcher/Engineer

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Last checked: 23 hours agoStatus: Live

Job Summary

Join Brave to shape performance evaluations and optimizations for AI across desktop and mobile. You’ll help improve ML model performance for browser and on-device AI agents, build and deploy mobile/desktop systems, and work closely with privacy and security researchers to reduce AI risks. This role combines hands-on software development (Python, C++, JavaScript and/or Rust) with modern ML frameworks and privacy/security technologies in an open-source environment.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Shape and improve performance evaluations and optimizations across desktop and mobile AI systems.
  • •Help optimize and evaluate ML models and on-device performance for browser ML models and AI agents.
  • •Build and deploy mobile/desktop applications and systems.
  • •Contribute to ML systems such as pipelines and performance evaluation workflows.
  • •Collaborate with privacy and security researchers to protect users from AI risks.

Key Requirements

  • •Experience with AI systems research and performance evaluation.
  • •Optimize and evaluate ML models and/or privacy & security technologies for on-device performance.
  • •Experience with modern ML frameworks such as PyTorch, TensorFlow, MLX, ONNX Runtime, Core ML, and/or TensorRT.
  • •Comfort creating and deploying mobile/desktop applications and systems.
  • •Ph.D. in computer science is highly preferred (industry experience may be considered).
Experience:AI systemsMachine learningPrivacySecurityOn-device AIOpen source
Education:PhD / Doctorate in computer science
Skills:InitiativeScientific approachData-driven problem solvingCollaborationPrivacy and security focus
Languages:English
Tech Stack:PythonC++JavaScriptRustPyTorchTensorFlowMLXONNX RuntimeCore MLTensorRTMobileDesktop applicationsOpen sourceConfidential computing

Company Brief

Brave
Develops the Brave web browser and privacy-focused web technologies that block trackers and ads by default, offering faster browsing, optional privacy-preserving ad and reward systems (BAT) and related products for users and publishers.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2015
WebsiteLinkedIn