Senior Machine Learning Engineer, Applied AI Modeling

📋 Description

• Develop and fine-tune LLMs for browser interactions.
• Apply RAG, summarization, classification, and intent modeling in browser workflows.
• Use tools like Hugging Face, LangChain, W&B, Ray for end-to-end model development.
• Collaborate with product and engineering teams to launch user-facing AI features.
• Design experiments to test model behavior in production and iterate.
• Document work and participate in code reviews and design discussions.

🎯 Requirements

• 4+ years of experience in applied ML, focusing on NLP or generative AI.
• Hands-on fine-tuning and evaluating LLMs using open-source libraries.
• Strong prompt engineering, embedding-based retrieval, and eval strategies.
• Experience leading end-to-end lifecycle from data exploration to deployment.
• Track record building user-facing AI features prioritizing privacy and latency.
• Clear communication and collaboration across multi-functional, distributed teams.

🎁 Benefits

• Generous performance-based bonus plans for eligible employees.
• 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.