The Role:
- Our mission is to help large brands put customers at the center using AI to analyze feedback.
- You will join the team to build and ship the next generation of our Customer Experience Intelligence platform.
What you'll be doing:
- Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning custom fine-tuning pipelines.
- Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation.
- Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, and automate checkpoint comparisons.
What you’ll need:
- A deep working knowledge of transformer architectures and strong PyTorch skills.
- Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, and search.
- Experience in instruction fine-tuning and serving language models, with a solid grounding in classical ML and statistics.
Our Values & Process:
- We are obsessed with experience, believe in the power of trust, and act as responsible owners.
- Our hiring process includes an asynchronous interview, a call with the Chief Scientist, a take-home assignment, team meetings, and a values alignment call.
Chattermill
Chattermill provides a Customer Experience Intelligence platform that analyzes feedback to help large brands like Uber and Amazon center their customers. The company fosters a choice-first, trust-based culture focused on collective growth and ambitious goals.