Software Engineer - Machine Learning Platform (MLOps)

Reposted 4 Days Ago
Austin, TX
Hybrid
2-2
Junior
Big Data • Real Estate • Software
Realtor.com® is an open real estate marketplace built for everyone.
The Role
The Software Engineer will design data pipelines, build CI/CD pipelines, evaluate technologies, and optimize machine learning models as part of the ML team.
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.

At realtor.com , we process terabytes of data everyday and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals. Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.

We seek a Software Engineer- Machine Learning Platform (MLOps) to join our Machine Learning team and help take it to the next level.  As a key member of the team, you will be responsible for the shared core infrastructure that serves as the foundation for our algorithms. You will drive enhancements and maintenance of our Paved Path development process as well as play a role in optimizing and tuning model performance.

Responsibilities:

  • Design the data pipelines and engineering infrastructure to support our machine learning systems at scale and in near-real time
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
  • Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, testing, etc.
  • Support model development, with an emphasis on auditability, versioning, and data security
  • Effectively partner with product and other engineering teams 

Requirements:

  • MS in computer science, statistics, mathematics, operations research or related fields or a BS in related fields with 2+ years of experience.
  • Working experience with relational databases (SQL) and large scale distributed systems.
  • Ability to design and implement cloud solutions (AWS preferred)
  • Experience building custom integrations between cloud-based systems using APIs
  • Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc.,
  • Experience developing with containers and Kubernetes in cloud computing environments
  • Strong understanding of software testing, benchmarking, and continuous integration
  • Exposure to machine learning methodology and best practices

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. People are our foundation—the core that drives us passionately forward. 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.

Top Skills

Airflow
AWS
Circle Ci
Datarobot
Github Actions
Gitlab Ci
Kubeflow
Kubernetes
Mlflow
SQL

What the Team is Saying

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Joyce
O'Shea
Gus
Tricia
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The Company
HQ: Austin, TX
1,250 Employees
Year Founded: 1995

What We Do

We pioneered the world of digital real estate more than 25 years ago. Today, through our website and mobile apps, we are a trusted guide for consumers, empowering more people to find their way home by breaking down barriers, helping them make the right connections, and creating confidence through expert insights and guidance. For professionals, we are a trusted partner for business growth, offering consumer connections and branding solutions that help them succeed in today's on-demand world.

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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