Machine Learning Engineer, Applied AI Modeling
Role details
Job location
Tech stack
Job description
We're looking for a Senior Machine Learning Engineer with a strong focus on applied AI and modern LLM-based applications. You will help conceptualize, prototype, and deploy user-facing experiences grounded in Generative AI, working collaboratively with engineering, design, and product to bring these capabilities to life in Firefox. What You'll Do
- Develop and fine-tune large language models (LLMs) for intelligent, safe, and responsive browser interactions.
- Apply retrieval-augmented generation (RAG), summarization, classification, and intent modeling techniques in real-world browser workflows.
- Use modern ML tooling (e.g., Hugging Face, LangChain, Weights & Biases, Ray, or similar) to support end-to-end model development, including experimentation, evaluation, and rollout.
- Collaborate closely with product and engineering partners to design, iterate, and launch features that align with user needs and Mozilla's values.
- Design and implement experiments to test model behavior in production, analyze results, and iterate based on findings.
- Document and share your work, participating in code reviews and team design discussions.
Requirements
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4+ years of experience in applied machine learning, with a focus on natural language processing or generative AI.
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Hands-on experience fine-tuning and evaluating LLMs using modern tools and open-source libraries.
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Strong understanding of prompt engineering, embedding-based retrieval, and evaluation strategies for generative applications.
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Experience using ML tooling to lead the end-to-end lifecycle of model development-from data exploration to deployment-ready artifacts.
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Track record of building user-facing AI features, especially where privacy, latency, and usability are critical.
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Clear communication skills and ability to collaborate with multi-functional partners on a distributed team.
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Commitment to our values:
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Welcoming differences
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Being relationship-minded
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Practicing responsible participation
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Having grit
Bonus Skills
- Familiarity with on-device model optimization or privacy-preserving ML.
- Experience working in a browser context or with web technologies.
- Contributions to open-source ML frameworks or model hubs.
Benefits & conditions
Remote Hiring Remotely in US 163K-218K Annually Senior level Remote Hiring Remotely in US 163K-218K Annually Senior level Design, fine-tune, evaluate, and deploy LLM-driven, user-facing browser features using RAG, embeddings, prompt engineering, and modern ML tooling. Lead end-to-end model lifecycle, run production experiments, collaborate with product and engineering, and document and review work with an emphasis on privacy, latency, and usability. The summary above was generated by AI, * 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)
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.