Senior Software Machine Learning Engineer (Generative AI)
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.
Apply Now
Apply Now
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.
Apply Now
Apply Now