Senior Machine Learning Engineer

Full Timesenior

Austin, Texas, United StatesPosted Yesterday

Role Overview

Rdccareers is hiring a Senior Machine Learning Engineer. This is a full-time role in Austin, Texas. Part of Rdccareers's Backend hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.

Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

About The Role

The ML Platform team powers all machine learning experiences across Realtor.com® from personalization and recommendations to search ranking, pricing models, and generative AI. As a Senior Machine Learning Engineer, you'll take a leading technical role in building the consumer-facing products and backend services that bring these ML capabilities to millions of users. You'll own the full stack from ML model integration to production APIs, working closely with data scientists, ML engineers, and product teams to ship high-quality, high-impact experiences.

Three Reasons To Apply

Build next-gen consumer experiences powered by personalization, recommendations, and GenAI for millions of users
Work at the intersection of consumer product engineering and cutting-edge ML owning both the user-facing surface and the ML infrastructure behind it
Drive the technical direction of a platform that powers every ML-powered feature across Realtor.com®

What You'll Do

Serve as a technical lead for key consumer-facing ML initiatives, owning architecture and design across the full stack — from ML model integration to production APIs and user-facing features
Design, build, and expose ML-powered capabilities through GraphQL APIs and federated subgraphs, REST endpoints, and event-driven services consumed by web and mobile clients
Design, build, and optimize high-performance recommender systems and personalization features, ensuring relevance, accuracy, and speed for millions of users
Build and maintain CI/CD pipelines and MLOps workflows using Metaflow and ArgoCD, ensuring reliable, traceable model deployments to production
Develop AI-native and GenAI-powered services — including LLM and RAG-based features — that directly improve the consumer experience
Own the design and development of data pipelines and the integration of ML models into production web and mobile applications
Drive API design best practices across the team — versioning, schema contracts, backwards compatibility, and cross-team API governance
Drive performance optimizations across services, ensuring low latency and high availability at scale
Collaborate with cross-functional teams — product, ML, data engineering, frontend, and analytics — to define clear API contracts and translate requirements into scalable technical solutions
Mentor and coach engineers on best practices, MLOps principles, GraphQL patterns, and production ML integration
Contribute to the long-term technical roadmap, driving innovation and reducing technical debt

What You'll Bring

7+ years of software engineering experience, with specific expertise in building consumer-facing products powered by ML models
Strong hands-on experience with GraphQL — including federated GraphQL / schema design, and building subgraphs consumed by web and mobile clients
Deep experience designing and building RESTful and event-driven APIs at scale, with a strong grasp of API contracts, versioning, and cross-team API governance
Hands-on experience with MLOps tooling — Metaflow, ArgoCD/Argo Workflows, and CI/CD pipelines for ML are required
Strong experience with cloud-native architectures on AWS (Lambda, EC2, S3, EKS, or equivalents) and Kubernetes
Proficient in designing and implementing data pipelines and integrating machine learning models into production, user-facing applications
Proven experience building with LLMs, RAG, and GenAI — shipping these capabilities into consumer products is required, not a plus
Strong communication and collaboration skills — able to drive technical alignment across ML, data science, product, frontend, and engineering teams
Experience with recommender systems, personalization, or search ranking is a strong plus
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent professional experience.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com® is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

Inclusive and Competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 Paid Holidays
Flexible Time Off
8 hours of paid Volunteer Time off
Immediate eligibility into Company 401(k) plan with 3.5% company match
Tuition Reimbursement program for degreed and non-degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.

About Rdccareers

Rdccareers

BackendOn-site

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Frequently Asked Questions

How do I apply for the Senior Machine Learning Engineer position at Rdccareers?

Use the Apply button above to submit your application directly to Rdccareers. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Machine Learning Engineer position at Rdccareers located?

This position is based in Austin, Texas. Rdccareers has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Machine Learning Engineer at Rdccareers earn?

Rdccareers has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Machine Learning Engineer role at Rdccareers posted?

This role was posted on July 9, 2026 (yesterday). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Machine Learning Engineer role at Rdccareers require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Rdccareers lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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