Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Equity
- 100% remote, with optional access to our Boulder, CO office
- Flex PTO, generous holidays, and a full week off between Christmas and New Year's
- Multiple healthcare options including FSA/HSA plans
- 401k (traditional and Roth) with company match, immediately vested
- Fully paid family and parental leave (12 weeks per year)
- Twice-yearly team offsites
Company Overview
Company H1B Sponsorship