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Software Engineer - Machine Learning Platform (MLOps) Job Opening In Austin – Now Hiring Realtor.com


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.

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.

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.


Required Skill Profession

Other General


  • Job Details

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Unlock Your Software Engineer Potential: Insight & Career Growth Guide


Real-time Software Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Software Engineer in Austin, United States, highlighting market share and opportunities for professionals in Software Engineer roles.

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Are You Looking for Software Engineer Machine Learning Platform (MLOps) Job?

Great news! is currently hiring and seeking a Software Engineer Machine Learning Platform (MLOps) to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Realtor.com adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Software Engineer Machine Learning Platform (MLOps) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Software Engineer Machine Learning Platform (MLOps)?

Key qualifications for Software Engineer Machine Learning Platform (MLOps) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Software Engineer Machine Learning Platform (MLOps) Job Success

Realtor.com interview tips for Software Engineer   Machine Learning Platform (MLOps)

Here are some tips to help you prepare for and ace your Software Engineer Machine Learning Platform (MLOps) job interview:

Before the Interview:

Research: Learn about the Realtor.com's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Software Engineer Machine Learning Platform (MLOps) interview at Realtor.com, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Realtor.com's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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