Sr. Machine Learning Engineer
Realtor.com Careers · Austin, TX
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Jul 10, 2026
Austin, TX
Jul 21, 2026
What this job asks for AI summary
A senior engineering role on the ML Platform team, responsible for building and owning the full stack of consumer-facing products powered by machine learning — from integrating models into production APIs (GraphQL and REST) to developing recommender systems, personalization features, and GenAI/LLM-based services. The position also covers MLOps pipelines, data pipeline design, and technical mentorship, and suits an experienced engineer with hands-on ML integration and cloud-native background.
Senior level · 7+ years · Austin-Round Rock-Georgetown, TX · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 140 people in the Austin-Round Rock-Georgetown, TX area plausibly meet what this posting asks for (software developers). range 55–200
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $137,069 (middle half $106,287–$172,440).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
This role sits at the intersection of software engineering and ML platform work — the primary day-to-day output is building production APIs, consumer-facing services, and MLOps pipelines (15-1252), but the deep ML integration focus makes 15-2051 a plausible runner-up.
The JD explicitly states LLM/RAG/GenAI experience is 'required, not a plus', so it is treated as a hard gate despite its placement near the end of the requirements block.
Metaflow and ArgoCD/Argo Workflows are explicitly called out as required ('are required') in the requirements section.
AWS is listed with specific services (Lambda, EC2, S3, EKS) qualified by 'or equivalents'; alternatives Azure and GCP are populated accordingly.
Recommender systems, personalization, and search ranking are listed as 'a strong plus' — placed as preferred.
A Bachelor's or Master's degree is listed with 'or equivalent professional experience', so no minimum degree is hard-required.
The role is hybrid (3 days/week in Austin, TX headquarters) — not fully remote.
Read the full posting
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