Staff Machine Learning Engineer, Gen AI
Staff Machine Learning Engineer, Gen AI

Staff Machine Learning Engineer, Gen AI

London Full-Time 110000 - 147000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and integration of Generative AI solutions in Firefox.
  • Company: Join Mozilla, a non-profit tech company dedicated to improving the internet for everyone.
  • Benefits: Enjoy generous bonuses, wellness days, and rich health coverage.
  • Why this job: Make a real impact on the future of technology while working in a diverse and inclusive environment.
  • Qualifications: 6+ years in Machine Learning with experience in building production applications.
  • Other info: Remote work available; commitment to diversity and inclusion is a core value.

The predicted salary is between 110000 - 147000 £ per year.

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we're shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission - to make the internet better for people.

The Firefox team is a community of engineers who care deeply about delivering the fastest, friendliest, most usable browser possible. We are looking for a Staff Machine Learning Engineer to help us develop and grow new Generative AI driven products and tools. You will play a key role in enabling safe and healthy machine learning and Generative AI driven experiences in Firefox.

A Staff Engineer is the next level from a Senior Engineer. At Mozilla this role can vary but typically a Staff Engineer is a domain expert who leads others within a single team to tackle multi-month projects. They sequence deliverables and manage risks in their team's projects, provide feedback on our strategy and goals affecting the team, and turn our strategy into action for their team members. Staff Engineers mentor others by stewarding some responsibilities to more junior and senior engineers so they can take on new ones. They collaborate with management on building team consensus and providing direction. Staff Engineers identify gaps and opportunities for improvement to enable a culture of inclusion and allyship, at all levels of the organization.

What you’ll do:

  • Lead the design, development, and integration of Generative AI solutions in Firefox, collaborating cross functionally with product management, full stack engineering and design.
  • Build infrastructure for training and inference of LLMs and small language and vision models for use cases on the web and mobile Firefox product experiences.
  • Implement robust validation and testing procedures to ensure the developed models' generalizability and reliability.
  • Continuously monitor and optimize deployed models for performance and efficiency.

What you’ll bring:

  • 6+ years experience as a Machine Learning engineer building tooling and services for machine learning applications in production.
  • Experience with designing and building machine learning tooling and infrastructure for training, deploying, inference and validation of models.
  • Experience with distributed systems and platforms for AI integrations across a breadth of applications such as LLM APIs, Cloud based and open source tooling.
  • Leading architecture designs to execution independently and track record of improving the team’s overall AI development velocity.
  • Strong problem-solving skills and ability to communicate complex concepts to technical and non-technical stakeholders.
  • Experience working collaboratively with product managers, project managers, and/or other non-engineering teams.
  • Effective documentation and communication skills on a distributed team.

Commitment to our values:

  • Welcoming differences
  • Being relationship-minded
  • Practicing responsible participation
  • Having grit

Bonus Points:

  • Knowledge of and experience with using LLM solutions across different cloud providers.
  • You have previously successfully contributed to an open source project.
  • Track record of not only building one, but multiple projects deployed with an active user base.
  • Experience with responsible AI, transparent algorithms, and putting users' needs first.
  • Excellent communication skills, both in written and presentation form.
  • You have the ability to quickly distill sophisticated topics into concepts that are tailored for your target audience.
  • You are a lifelong learner, and continue to refine and improve your skills when you see an opportunity to do so.
  • Experience with the browser extensions architecture or ecosystem.
  • Experience working in open source environments.

What you’ll get:

  • Generous performance-based bonus plans to all eligible employees - we share in our success as one team.
  • Rich medical, dental, and vision coverage.
  • Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute).
  • Quarterly all-company wellness days where everyone takes a pause together.
  • Country specific holidays plus a day off for your birthday.
  • One-time home office stipend.
  • Annual professional development budget.
  • Quarterly well-being stipend.
  • Considerable paid parental leave.
  • Employee referral bonus program.
  • Other benefits (life/AD&D, disability, EAP, etc. - varies by country).

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging:

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Staff Machine Learning Engineer, Gen AI employer: Mozilla

Mozilla Corporation is an exceptional employer that champions innovation and inclusivity, making it a prime choice for those passionate about technology and the internet. With a strong commitment to employee well-being, Mozilla offers generous benefits including performance-based bonuses, comprehensive health coverage, and professional development budgets, all while fostering a collaborative and diverse work culture. As a Staff Machine Learning Engineer, you'll have the opportunity to lead impactful projects in a supportive environment that values your contributions and encourages continuous growth.
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Contact Detail:

Mozilla Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Machine Learning Engineer, Gen AI

✨Tip Number 1

Familiarise yourself with Mozilla's mission and values. Understanding their commitment to an open and accessible internet will help you align your responses during interviews, showcasing how your personal values resonate with theirs.

✨Tip Number 2

Highlight your experience with Generative AI and machine learning in practical applications. Be prepared to discuss specific projects where you've led the design and implementation of AI solutions, as this will demonstrate your capability for the role.

✨Tip Number 3

Network with current or former Mozilla employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.

✨Tip Number 4

Prepare to discuss your approach to collaboration across teams. Since the role involves working with product managers and other non-engineering teams, demonstrating your ability to communicate complex concepts clearly will set you apart.

We think you need these skills to ace Staff Machine Learning Engineer, Gen AI

Machine Learning Engineering
Generative AI Development
Model Training and Inference
Distributed Systems
Cloud-based AI Solutions
Open Source Contributions
Architecture Design
Performance Optimisation
Robust Validation Procedures
Cross-functional Collaboration
Technical Documentation
Problem-Solving Skills
Effective Communication
User-Centric Design Principles
Experience with LLM APIs

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and AI. Focus on projects where you've designed and built tooling for machine learning applications, as well as any leadership roles you've taken on.

Craft a Compelling Cover Letter: In your cover letter, express your passion for Mozilla's mission to improve the internet. Discuss how your skills align with the role of Staff Machine Learning Engineer and provide specific examples of your past work that demonstrate your expertise.

Showcase Your Communication Skills: Since the role requires effective communication with both technical and non-technical stakeholders, include examples in your application that illustrate your ability to distill complex concepts into understandable terms.

Highlight Open Source Contributions: If you have contributed to open source projects, make sure to mention this in your application. Detail your contributions and the impact they had, as this aligns well with Mozilla's values and mission.

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 previous projects in detail, especially those involving Generative AI, and how you tackled challenges during development.

✨Emphasise Collaboration Skills

Mozilla values teamwork, so highlight your experience working with cross-functional teams. Share examples of how you've collaborated with product managers and designers to deliver successful projects, showcasing your ability to communicate complex ideas clearly.

✨Prepare for Problem-Solving Questions

Expect to face technical problem-solving scenarios during the interview. Practice articulating your thought process when approaching complex problems, as this will demonstrate your analytical skills and ability to think critically under pressure.

✨Align with Mozilla's Values

Familiarise yourself with Mozilla's mission and values, particularly around diversity, equity, and inclusion. Be ready to discuss how you can contribute to fostering an inclusive culture within the team and how your personal values align with those of the company.

Staff Machine Learning Engineer, Gen AI
Mozilla
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  • Staff Machine Learning Engineer, Gen AI

    London
    Full-Time
    110000 - 147000 £ / year (est.)

    Application deadline: 2027-07-09

  • M

    Mozilla

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