Senior Applied Machine Learning Engineer

Respondology

54d • $140,000 - $175,000 • Remote

About The Position

We're hiring a Senior Applied Machine Learning Engineer to join the small team that makes AI work tractable, safe, and fast across the company. In this role, you’ll ship LLM-powered systems that real users depend on every day, and build the tooling and standards that let other engineers ship them too. Our systems process nearly 2 trillion tokens, 15M+ social comments, and 100M+ LLM transactions to make that happen. This is a startup. The pace is fast and the playbook is still being written. If you do your best work inside a fully built structure, this probably isn't the right fit. If the idea of building that structure sounds exciting, we'd love to meet you.

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

Nice To Haves

• Experience building internal tooling or platforms that leveled up other engineers is a big plus

Responsibilities

• Partnering closely with our AI Function lead, you will work across all three of our AI products: Moderate, Discover, and Respond. Your focus will be on the highest-risk applied ML work and strengthening the foundations (eval harnesses, observability, reference implementations) that make AI work repeatable for engineers who aren't ML specialists.
• 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.

Benefits

• Competitive salary + 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed