Staff Machine Learning Engineer, Gen AI Remote Spain

Mozilla Corporation; España; A distancia; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company dedicated to building open-source software that empowers users to enjoy the internet on their own terms. As a Machine Learning Engineer, you will lead the design and integration of innovative Generative AI solutions in a popular web browser. This role involves collaborating with cross-functional teams to build infrastructure for training and deploying language models, ensuring their performance and reliability. You will have the opportunity to make a significant impact on the user experience while working in a diverse and inclusive environment that values creativity and innovation.

Servicios

Performance-based bonus plans

Medical, dental, and vision coverage

Generous retirement contributions

Quarterly wellness days

Country-specific holidays

Home office stipend

Well-being stipend

Paid parental leave

Employee referral bonus program

Formación

• 6+ years experience in Machine Learning engineering.
• Experience with AI integrations and distributed systems.

Responsabilidades

• Lead the design and development of Generative AI solutions.
• Build infrastructure for training and inference of models.

Conocimientos

Machine Learning

Problem-Solving

Communication Skills

Collaboration

Documentation

Educación

Bachelor's Degree in Computer Science or related field

Herramientas

LLM APIs

Cloud-based Tools

Open Source Tools

Descripción del empleo

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:

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 a 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:
• Being relationship-minded.
• Having grit.

Bonus Points:

• Knowledge of and experience with using LLM solutions across different cloud providers.
• 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 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.
• Quarterly well-being stipend.
• Considerable paid parental leave.
• Employee referral bonus program.
• Other benefits (life / AD&D, disability, EAP, etc. - varies by country).

About Mozilla:

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 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.