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- Tasks: Join us as a Systems and Performance Researcher/Engineer, tackling real-world tech challenges.
- Company: Brave Software is revolutionising the internet by prioritising user privacy and security.
- Benefits: Enjoy hybrid work, competitive pay, and opportunities for personal growth in a dynamic startup.
- Why this job: Be part of a mission-driven team changing the advertising landscape with cutting-edge technology.
- Qualifications: Ph.D. in computer science preferred; industry experience may be considered.
- Other info: Open to exceptional candidates across Europe; no agencies or recruiters.
The predicted salary is between 36000 - 60000 £ per year.
Social network you want to login/join with:
Systems and Performance Researcher/Engineer, London
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Client:
Brave Software Inc.
Location:
London, United Kingdom
Job Category:
Other
–
EU work permit required:
Yes
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Job Reference:
f0dc9c227a2f
Job Views:
2
Posted:
14.07.2025
Expiry Date:
28.08.2025
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Job Description:
Systems & Performance Researcher/Engineer
UK: London – Hybrid Preferred
About Brave
The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us!
Summary
About you
An ideal candidate will have a mix of skills that include the following:
- Demonstrates a high level of initiative and consistently delivers high-quality solutions
- Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
- Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
- Want to be part of a high-growth startup company with global ambitions
- Has a proven track record implementing data driven products and a broad understanding of the state of the art in systems and networks
- Comfortable working in an open-source setting
- Able to create and deploy mobile/desktop applications and systems
- Has a passion for helping protect users’ privacy and security
- A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience
Specific Skills
- Background and/or previous work in systems research and performance evaluation.
- Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance.
- Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, etc.).
Skills That Will Set You Apart from the Competition
- Open source projects on mobile/desktop systems optimization
- Experience with confidential computing and security/privacy protocols
- Ph.D. in computer science from a top-tier school
- A strong publication record in premier systems, performance, or ML
- Work experience in industry is desirable
Working at Brave – What we offer
- Ability to work at an exciting and well-funded international startup headquartered in San Francisco
- Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
- Competitive compensation and plenty of room for personal growth
- Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
NO AGENCIES or RECRUITERS PLEASE – Unfortunately, we cannot work with third parties on these searches.
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Systems and Performance Researcher/Engineer employer: Brave Software Inc.
Contact Detail:
Brave Software Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems and Performance Researcher/Engineer
✨Tip Number 1
Familiarise yourself with Brave's mission and values. Understanding their commitment to user privacy and security will help you align your passion with their goals during any discussions or interviews.
✨Tip Number 2
Engage with the open-source community related to systems optimisation and performance evaluation. Contributing to relevant projects can showcase your skills and dedication, making you a more attractive candidate.
✨Tip Number 3
Network with current or former employees of Brave on platforms like LinkedIn. This can provide you with insider insights about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Stay updated on the latest trends in machine learning frameworks and privacy technologies. Being knowledgeable about state-of-the-art tools will not only enhance your expertise but also demonstrate your commitment to continuous learning.
We think you need these skills to ace Systems and Performance Researcher/Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Systems and Performance Researcher/Engineer position at Brave Software Inc. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your background in systems research, performance evaluation, and any experience with machine learning frameworks. Be specific about your contributions to projects and how they relate to the role.
Showcase Your Passion: Brave is looking for candidates who are passionate about user privacy and security. Make sure to convey your enthusiasm for these topics in your application, perhaps by mentioning relevant projects or initiatives you've been involved in.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial for a role in a high-growth startup like Brave.
How to prepare for a job interview at Brave Software Inc.
✨Show Your Passion for Privacy
Brave Software is all about protecting users' privacy. Make sure to express your enthusiasm for privacy and security technologies during the interview. Share any relevant experiences or projects that highlight your commitment to these values.
✨Demonstrate Your Technical Expertise
Be prepared to discuss your experience with modern Machine Learning frameworks like Pytorch or TensorFlow. Bring examples of how you've optimised ML models or evaluated performance in previous roles, as this will showcase your technical skills and understanding of the field.
✨Highlight Your Research Background
Since the role involves systems research and performance evaluation, be ready to talk about your academic background or any relevant research projects. If you have publications, mention them to demonstrate your expertise and contribution to the field.
✨Prepare for Open-Source Discussions
Brave values open-source contributions, so if you have experience with open-source projects, be sure to discuss them. Talk about your role in these projects and how they relate to systems optimisation or performance evaluation, as this will set you apart from other candidates.
