Mozilla
Senior Machine Learning Engineer, Applied AI Modeling
Remote Firefox role with clear candidate location fit.
PostedRecently added
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior Machine Learning Engineer, Applied AI Modeling
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- 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.
- 4+ years of experience in applied machine learning, with a focus on natural language processing or generative AI.
- Hands-on experience fine-tuning and evaluating LLMs using modern tools and open-source libraries.
- Strong understanding of prompt engineering, embedding-based retrieval, and evaluation strategies for generative applications.
- Experience using ML tooling to lead the end-to-end lifecycle of model development—from data exploration to deployment-ready artifacts.
- Track record of building user-facing AI features, especially where privacy, latency, and usability are critical.
- Clear communication skills and ability to collaborate with multi-functional partners on a distributed team.
- Commitment to our values:
- Welcoming differences
- Being relationship-minded
- Practicing responsible participation
- Having grit
- Welcoming differences
- Being relationship-minded
- Practicing responsible participation
- Having grit
- 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.
- 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)
Similar roles
Keep a backup shortlist.
Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Your profileCountry not setSign in to check your country against this role.
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.