We're looking for a
Senior Software MLE
to help push the boundaries of large language models (LLMs) and create intelligent, privacy-aware browser experiences.
What You’ll Do
- Develop and fine-tune large language models (LLMs) to power intelligent and responsive browser interactions.
- Apply techniques such as retrieval-augmented generation (RAG), summarization, classification, and intent modeling to real-world use cases.
- Work with modern ML tooling to manage the full lifecycle of model development — from experimentation to deployment.
- Collaborate cross-functionally with engineering and product teams to shape AI-powered features that are aligned with user needs and ethical standards.
- Design and run experiments to evaluate model behavior in production, analyze outcomes, and iterate accordingly.
- Participate in code reviews, share your work through documentation, and contribute to team-wide design discussions.
What You Bring
- 4+ years of experience in applied machine learning and systems with a focus on NLP or generative AI.
- Strong hands-on experience fine-tuning and evaluating LLMs using open-source tools and modern ML libraries.
- Deep understanding of prompt engineering, embedding-based retrieval, and model evaluation strategies for generative applications.
- Demonstrated experience managing the end-to-end ML workflow, including data exploration, training, testing, and deployment.
- A track record of building real-world, user-facing AI features with a focus on privacy, performance, and usability.
- Excellent communication skills and the ability to work effectively on a distributed, cross-functional team.
Tags & focus areas
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