[Remote] Senior Machine Learning Engineer, Applied AI Modeling

Note: The job is a remote job and is open to candidates in USA. Mozilla Corporation is a non-profit-backed technology company known for shaping the internet positively over the past 25 years. They are seeking a Senior Machine Learning Engineer to develop and fine-tune large language models for intelligent browser interactions, collaborating with various teams to enhance user experiences in Firefox.

Responsibilities

• 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

Skills

• 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
• 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

• 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)

Company Overview

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