7 дней назад
AI Systems Researcher/Engineer (ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Systems Researcher/Engineer (ML): Developing and optimizing AI systems, browser ML models, on-device AI agents, and performance evaluations across desktop and mobile with an accent on model optimization, systems research, and privacy-preserving technologies. Focus on evaluating on-device performance, deploying mobile and desktop systems, and collaborating with privacy and security researchers to address AI risks.
Location: London, UK — hybrid and preferred; exceptional candidates in the rest of Europe may be considered.
Company
develops privacy-focused products including a web browser, private search engine, private AI assistant, and privacy-preserving advertising technology.
What you will do
- Shape and improve AI systems performance evaluations and optimizations across desktop and mobile.
- Work on browser ML models, novel AI applications, and on-device AI agents.
- Optimize and evaluate ML models and privacy and security technologies for on-device performance.
- Create and deploy mobile and desktop applications and systems.
- Apply data-driven product development and current systems and networks knowledge.
- Collaborate with privacy and security researchers to protect users from AI risks.
Requirements
- Background in AI systems research and performance evaluation.
- Experience with software development practices using Python, C++, JavaScript, and/or Rust.
- Experience implementing data-driven products and deploying mobile or desktop applications and systems.
- Experience with modern ML frameworks such as PyTorch, TensorFlow, MLX, ONNX Runtime, Core ML, or TensorRT.
- Ability to work comfortably in an open-source setting and follow a disciplined, scientific approach.
Nice to have
- Ph.D. in computer science, particularly from a top-tier school.
- Open-source projects focused on mobile or desktop systems optimization.
- Experience with confidential computing and security or privacy protocols.
- Strong publication record in systems, performance, or ML.
- Industry experience.
Culture & Benefits
- Work with cutting-edge, state-of-the-art technology and software solutions.
- Join a well-funded international startup headquartered in San Francisco.
- Competitive compensation and opportunities for personal growth.
- International exposure and an international team atmosphere.
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