Senior Machine Learning Engineer, Applied AI Modeling
$163,000–$218,000 year
RemoteUnited States
Job Summary
Develop and fine-tune large language models for intelligent, safe, and responsive browser interactions. Apply retrieval-augmented generation, summarization, classification, and intent modeling techniques within real-world Firefox workflows. Use modern ML tooling to support end-to-end model development, including experimentation, evaluation, and rollout. Collaborate with product and engineering partners to design, iterate, and launch features aligned with user needs. Design experiments to test model behavior in production, analyze results, and iterate based on findings. Document work, participate in code reviews, and engage in team design discussions.
Required Qualifications
- 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
Desired Qualifications
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.