Description

We’re looking for a Machine Learning Engineer 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

  • 1-4 years of experience in applied machine learning, 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.