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- Tasks: Design and develop cutting-edge Generative AI solutions for Firefox.
- Company: Join Mozilla, a non-profit tech leader shaping the internet for 25 years.
- Benefits: Enjoy performance bonuses, health coverage, wellness days, and a professional development budget.
- Why this job: Be part of a mission-driven team focused on user-first AI experiences and innovation.
- Qualifications: 6+ years in Machine Learning engineering with strong problem-solving and communication skills.
- Other info: Remote work options available across multiple countries, including the UK.
The predicted salary is between 43200 - 72000 £ per year.
Location: London, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Reference: b23cfa65d8bd
Job Views: 57
Posted: 24.06.2025
Expiry Date: 08.08.2025
About this team and role:
The Firefox team is dedicated to delivering a fast, friendly, and usable browser. We are seeking a Staff Machine Learning Engineer to develop Generative AI products and tools, ensuring safe and effective AI experiences in Firefox.
What is a Staff Engineer at Mozilla?
A Staff Engineer is a domain expert leading multi-month projects, influencing engineering teams, mentoring others, and collaborating on strategy and improvement initiatives.
What you’ll do:
- Design, develop, and integrate Generative AI solutions in Firefox.
- Build infrastructure for training and inference of language and vision models.
- Implement validation and testing for models.
- Monitor and optimize deployed models for performance.
What you’ll bring:
- 6+ years of experience in Machine Learning engineering.
- Experience with ML tooling, infrastructure, and distributed systems.
- Leadership in architecture design and team velocity improvement.
- Strong problem-solving and communication skills.
- Experience with cross-team collaboration and documentation.
- Commitment to Mozilla values: inclusivity, relationships, responsibility, grit.
Bonus Points:
- Experience with cloud-based LLM solutions.
- Open source contributions and deployed projects.
- Knowledge of responsible AI and user-centric design.
- Excellent communication skills.
- Experience with browser extension architecture and open source environments.
What you’ll get:
- Performance bonuses, comprehensive health coverage, retirement plans.
- Wellness days, holidays, birthday leave, home office stipend.
- Professional development budget, well-being stipend, parental leave.
- Referral bonuses and additional benefits.
Staff Machine Learning Engineer, Gen AI (London) employer: Mozilla
Contact Detail:
Mozilla Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer, Gen AI (London)
✨Tip Number 1
Familiarise yourself with Mozilla's mission and values. Understanding their commitment to open-source software and user-centric design will help you align your responses during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Highlight your leadership experience in previous roles. As a Staff Machine Learning Engineer, you'll be expected to lead projects and mentor others, so be prepared to discuss specific examples of how you've influenced teams and improved processes.
✨Tip Number 3
Stay updated on the latest trends in Generative AI and machine learning. Being knowledgeable about current technologies and methodologies will not only impress your interviewers but also demonstrate your passion for the field.
✨Tip Number 4
Prepare to discuss your experience with cross-team collaboration. Since this role involves working with various teams, sharing examples of successful collaborations and how you navigated challenges will show your ability to work effectively in a diverse environment.
We think you need these skills to ace Staff Machine Learning Engineer, Gen AI (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 6+ years of experience in Machine Learning engineering. Focus on relevant projects, especially those involving Generative AI, and emphasise your leadership roles in architecture design and team collaboration.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Mozilla's mission and values. Discuss your experience with ML tooling and distributed systems, and how you can contribute to the Firefox team's goals. Be sure to mention any open-source contributions or projects you've worked on.
Showcase Problem-Solving Skills: Provide specific examples in your application that demonstrate your strong problem-solving abilities. Highlight situations where you successfully implemented validation and testing for models or optimised deployed models for performance.
Highlight Communication and Collaboration: Since the role requires cross-team collaboration, make sure to include instances where you've effectively communicated complex ideas or mentored others. This will show that you possess the necessary skills to thrive in a collaborative environment.
How to prepare for a job interview at Mozilla
✨Showcase Your Technical Expertise
As a Staff Machine Learning Engineer, it's crucial to demonstrate your deep understanding of machine learning concepts and tools. Be prepared to discuss your past projects in detail, especially those involving Generative AI, and how you approached challenges in architecture design and model optimisation.
✨Emphasise Collaboration Skills
Mozilla values teamwork and cross-team collaboration. Highlight your experience working with diverse teams and how you've contributed to improving team velocity. Share specific examples of how you've mentored others or led initiatives that fostered inclusivity and responsibility.
✨Prepare for Problem-Solving Scenarios
Expect to face technical problem-solving questions during the interview. Brush up on your analytical skills and be ready to walk through your thought process when tackling complex issues related to machine learning models and their deployment.
✨Align with Mozilla's Values
Familiarise yourself with Mozilla's mission and values, particularly around user-centric design and responsible AI. Be ready to discuss how your personal values align with theirs and how you can contribute to making the internet a better place through your work.
