Senior Applied Machine Learning Engineer

Respondology is the AI-powered social engagement platform that modernizes how social marketers moderate, listen to, and respond to comments at scale. They are seeking a Senior Applied Machine Learning Engineer to join their team, focusing on building LLM-powered systems and creating tools that enhance the workflow for other engineers. The role involves owning high-difficulty applied ML features and collaborating with product and engineering teams to ensure technical feasibility.

Responsibilities:

• Own high-difficulty applied ML features end-to-end, from prototype through production
• Build eval pipelines, golden datasets, and observability tooling (much of this is greenfield)
• Create reference implementations that show other engineers how to ship AI the right way
• Partner with Product and Engineering to translate between what's technically feasible and what teams are trying to build

Requirements:

• 5+ years building applied ML systems in production
• Hands-on experience with LLMs, including classification, summarization, RAG, and agentic workflows
• Strong ML evaluation instincts: constructing datasets, running offline and online evals, defining metrics
• Ability to own a feature end-to-end without a lot of hand-holding
• Strong Python skills and comfort working in a production codebase
• Experience building internal tooling or platforms that leveled up other engineers is a big plus