Senior Applied Machine Learning Engineer

Respondology, LLC; Boulder (CO); Hybrid; USD 140,000 - 175,000; Full time

Benefits offered by this job

Competitive salary + equity

Flex PTO and generous holidays

Multiple healthcare options

401k with company match

Fully paid family and parental leave

Twice-yearly team offsites

Job summary

Respondology, LLC is hiring a Senior Applied Machine Learning Engineer to join their remote team. In this role, you will develop AI-powered systems that process billions of interactions. The ideal candidate has over 5 years of experience in applied machine learning and strong Python skills.

Compensation ranges from $140,000 to $175,000 per year, with additional bonuses and equity offered. The position allows for remote work with some occasional travel to Colorado for team interactions.

Qualifications

• 5+ years building applied ML systems in production.
• Hands-on experience with LLMs including classification and summarization.
• Strong ML evaluation instincts and experience in constructing datasets.

Responsibilities

• Own high-difficulty applied ML features from prototype through production.
• Build eval pipelines and observability tooling.
• Partner with Product and Engineering to translate feasibility.

Skills

Applied ML systems

LLMs

Python

ML evaluation

Job description

Senior Applied Machine Learning Engineer

Who we are:

Respondology is the AI-powered social engagement platform that modernizes how social marketers moderate, listen to, and respond to comments at scale.

The world’s top brands rely on Respondology to transform comment sections into community, commerce, and competitive intelligence. Fast to deploy and easy to use, our customers engage with over 2 billion collective followers every month.

About the role:

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.

What you’ll do:

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.

What we’re looking for

• 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

What we offer

• 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

Compensation

$140,000 - $175,000 per year DOE + bonus + equity

Location

This is a 100% remote role. Must be willing to travel to Colorado or other locations approximately twice per year to work in-person with your team and have fun!

What to expect

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.

What matters

We recognize the value in how different backgrounds and unique experiences shape our ways of thinking. These perspectives spark the conversations that enrich our culture and, in turn, improve our products. We invite anyone who feels they are qualified to apply and join a team united by the drive to build something that matters.