Sr. Machine Learning Engineer

Posted 3 Hours Ago
Be an Early Applicant
Austin, TX, USA
Hybrid
Senior level
Big Data • Real Estate • Software
Realtor.com® is an open real estate marketplace built for everyone.
The Role
Lead design and implementation of ML-powered consumer features and backend services. Integrate ML models into production, build GraphQL/REST/event-driven APIs, optimize recommender and personalization systems, manage MLOps with Metaflow and ArgoCD, develop GenAI/LLM capabilities, ensure scalability and low latency, and mentor engineering teammates.
Summary Generated by Built In

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.

Skills Required

  • 7+ years of software engineering experience building consumer-facing products powered by ML models
  • Strong hands-on experience with GraphQL including federated GraphQL and schema design
  • Deep experience designing and building RESTful and event-driven APIs at scale, including API versioning and governance
  • Hands-on experience with MLOps tooling: Metaflow, ArgoCD/Argo Workflows, and CI/CD pipelines for ML
  • Strong experience with cloud-native architectures on AWS (Lambda, EC2, S3, EKS) and Kubernetes
  • Proficiency designing and implementing data pipelines and integrating ML models into production user-facing applications
  • Proven experience building and shipping LLM, RAG, and GenAI capabilities into consumer products
  • Experience with recommender systems, personalization, or search ranking
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent professional experience
  • Strong communication and collaboration skills to align cross-functional teams

What the Team is Saying

Meek
Joyce
O'Shea
Gus
Tricia
Justin K.
Rachel S.
 Francisco (Javi) T.
Colleen C.
 Sneha R.
Bryan E.
Jeremy H.
Courtney L.
Maria R F.
Beth T.

Realtor.com Compensation & Benefits Highlights

  • Parental & Family Support Parental leave for primary caregivers is described as generous, alongside backup child and elder care and adoption assistance. Fertility and family‑building benefits, lactation support, and caregiving resources reinforce strong family support.
  • Inclusive Benefits Coverage Health coverage includes options for gender‑affirming care, reproductive and fertility services, autism support, and mental‑health resources for adults and children. Multiple medical, dental, and vision plans and telemedicine extend access across diverse needs.
  • Retirement Support An employer‑matched 401(k) with Traditional and Roth options, plus employer‑paid disability and basic life coverage, offer a solid financial safety net. The match is characterized as decent and reliable for a mid‑size tech/real‑estate platform.

Realtor.com Insights

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The Company
HQ: Austin, TX
1,400 Employees
Year Founded: 1995

What We Do

For years, millions of home shoppers have turned to realtor.com® to find their dream home. Operated by Move, Inc., realtor.com® offers a comprehensive list of for-sale properties, as well as the information and tools to make informed real estate decisions. Today, more than ever, realtor.com® is The Home of Home Search℠. Realtor.com® also offers homeowners a bevy of useful tools and resources through the My Home℠ dashboard. My Home℠ dashboard allows property owners to manage their home like the important investment it is by tracking their home’s value over time, researching and managing home improvements, and scouting other similar properties in the neighborhood.

Why Work With Us

The way home begins with you. With a diverse team of experts alongside you, you’ll help us reach new heights at the forefront of the digital real estate space. Bring your extensive knowledge and deep expertise and collaborate with other passionate visionaries to lead our industry and revolutionize the way people find home, in every form.

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Realtor.com Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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HQAustin, TX
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New York, NY
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Scottsdale, AZ
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