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    Home/Jobs/Senior Machine Learning Engineer, Applied AI Modeling

    Senior Machine Learning Engineer, Applied AI Modeling

    Mozilla Corporation

    United States
    4+ years
    21 days ago
    ₹15–28 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    LangChain
    Hugging Face
    Gen AI
    Prompt Engineering
    Embedding-based retrieval
    Machine Learning
    NLP
    Summarization
    Classification
    Intent modeling

    Description

    Mozilla Corporation is looking for a Senior Machine Learning Engineer with a strong focus on applied AI and modern LLM-based applications. The engineer 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.

    Company: Mozilla Corporation

    Role: Senior Machine Learning Engineer, Applied AI Modeling

    Location: Remote US

    Experience:

    • 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
    • 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

    Role Focus: • 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 • 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

    Nice to have:

    • 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

    More skills:

    Large language models (LLMs), Retrieval-augmented generation (RAG), Weights & Biases, Ray

    Other:

    • Generous performance-based bonus plans
    • Rich medical, dental, and vision coverage
    • Generous retirement contributions with 100% immediate vesting
    • Quarterly all-company wellness days
    • 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)

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

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