Senior Applied Machine Learning Engineer

🔥 10 minutes ago

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Respondology

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2008

🤖 Artificial Intelligence

📣 Marketing

☁️ SaaS

Artificial Intelligence • Marketing • SaaS

Respondology is an AI-driven SaaS platform that specializes in social comment moderation, real-time comment intelligence, and automated engagement for brands, agencies, and professional sports teams. The platform uses machine learning and large language models to detect and remove spam, scams, bots, and abusive content across paid, organic, and creator content, surface sentiment and trend insights, and deploy AI-trained agents that reply in a brand's voice to capture demand and build community. Respondology positions itself as enterprise-ready (SOC 2 Type II), supports major social platforms (Facebook, Instagram, TikTok, LinkedIn, YouTube, Threads), and emphasizes speed, scale, and measurable business outcomes (improvements in sentiment, ROAS, CPA, and conversion on purchase-intent comments).

📋 Description

• 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

🎯 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

🏖️ 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