Staff Machine Learning Engineer, Gen AI

TN France; Paris; À distance; EUR 60 000 - 100 000; Plein temps

Résumé du poste

Join a forward-thinking company as a Staff Machine Learning Engineer, where you'll lead the development of innovative Generative AI solutions for a widely recognized web browser. This role involves collaborating with cross-functional teams to design and implement cutting-edge machine learning tools, ensuring optimal performance and reliability. With a commitment to enhancing user experiences and a focus on responsible AI practices, you'll be at the forefront of shaping the future of technology. Enjoy a collaborative environment that values inclusivity and continuous learning, along with generous benefits and a performance-based bonus structure.

Prestations

Generous performance-based bonus plans

Rich medical, dental, and vision coverage

Generous retirement contributions

Quarterly wellness days

Country-specific holidays

Home office stipend

Professional development budget

Well-being stipend

Paid parental leave

Employee referral bonus program

Qualifications

• 6+ years experience in Machine Learning engineering.
• Experience with AI integrations and tooling for production.

Responsabilités

• Lead design and integration of Generative AI solutions in Firefox.
• Build infrastructure for training and inference of models.

Connaissances

Machine Learning

Generative AI

Problem Solving

Communication Skills

Collaboration

Formation

Bachelor's Degree in Computer Science or related field

Master's Degree preferred

Outils

Distributed Systems

LLM APIs

Cloud Platforms

Description du poste

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Location:

Paris, France

Job Category:

-

EU work permit required:

Yes

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Job Reference:

5a13aa6d21b1

Job Views:

1

Posted:

06.05.2025

Expiry Date:

20.06.2025

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Job Description:

Staff Machine Learning Engineer, Gen AI

at Mozilla Corporation Team: Firefox Locations: Remote Canada, Remote Netherlands, Remote Sweden, Remote France, Remote Germany, Remote Spain, Remote Belgium, Remote Finland, Remote Denmark, Remote UK, Remote US

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Why Mozilla?

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, and Pocket, a service for keeping up with the best content online. 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 Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Firefox team is a community of engineers who care deeply about delivering the fastest, most usable browser possible. We are responsible for making the things you see in the browser work securely, quickly, and well! 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.

What is a Staff Engineer at Mozilla?

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. Tasks that may be initially ambiguous or require significant planning and require them to influence or direct the work of several engineers. They sequence deliverables and manage risks in their team's projects, provide feedback on strategy and goals affecting the team, and turn strategy into action for their team members. Staff Engineers mentor others by stewarding 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:

1. Lead the design, development, and integration of Generative AI solutions in Firefox, collaborating cross-functionally with product management, full-stack engineering, and design.
2. 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.
3. Implement robust validation and testing procedures to ensure the developed models' generalizability and reliability.
4. Continuously monitor and optimize deployed models for performance and efficiency.

What you'll bring:

1. 6+ years experience as a Machine Learning engineer building tooling and services for machine learning applications in production.
2. Experience with designing and building machine learning tooling and infrastructure for training, deploying, inference, and validation of models.
3. Experience with distributed systems and platforms for AI integrations across a breadth of applications such as LLM APIs, Cloud-based, and open-source tooling.
4. Leading architecture designs to execution independently and a track record of improving the team’s overall AI development velocity.
5. Strong problem-solving skills and ability to communicate complex concepts to technical and non-technical stakeholders.
6. Experience working collaboratively with product managers, project managers, and/or other non-engineering teams.
7. Effective documentation and communication skills on a distributed team.
8. Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit.

Bonus Points:

1. Knowledge of and experience with using LLM solutions across different cloud providers.
2. You have previously successfully contributed to an open-source project.
3. Track record of not only building one, but multiple projects deployed with an active user base.
4. Experience with responsible AI, transparent algorithms, and putting users’ needs first.
5. 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.
6. You are a lifelong learner, and continue to refine and improve your skills when you see an opportunity to do so.
7. Experience with the browser extensions architecture or ecosystem.
8. Experience working in open source environments.

What you’ll get:

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