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Staff Machine Learning Engineer Job Opening In Scottsdale – 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.

**What You’ll Do**

As a Staff Machine Learning Engineer, you’ll take a leadership role in developing and deploying state-of-the-art machine learning solutions that power Realtor.com’s products and business strategy.

You’ll be building intelligent systems that optimize pricing, forecasting, and recommendation engines—improving our understanding of our entire customer portfolio and driving revenue growth.

+ Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization.
+ Develop scalable, production-ready ML models that power key business initiatives, including monetization, pricing optimization, and intelligent recommendations.
+ Experiment and innovate—leverage AI to enhance customer insights and improve home search and listing experiences.
+ Mentor a team of talented machine learning engineers, guiding them in best practices for model development, deployment, and optimization.
+ Collaborate with cross-functional teams, including product managers, analysts, data engineers, and leadership, to identify high-impact opportunities and translate them into AI-driven solutions.
+ Deploy models at scale using modern cloud platforms (AWS/GCP), containerization (Docker), and ML frameworks like TensorFlow, PyTorch, or JAX.

**Top Reasons to Apply**

+ **Innovative Impact:** Lead the full ML lifecycle to design and deploy cutting-edge models that directly drive revenue and improve customer experiences.
+ **Technical Excellence:** Tackle complex, industry-leading challenges using modern cloud platforms and ML frameworks while growing your expertise.
+ **Empowering Culture:** Mentor talented engineers in an environment where people are our foundation and you’re trusted to own and innovate.

**How We Work:**
We balance creativity and innovation on a foundation of in-person collaboration.

For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

**What You’ll Bring:**

+ Expertise in Applied ML – PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, forecasting, recommendation systems, or related ML applications.

Experience with causal ML is a plus.
+ Production ML Experience – Hands-on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar.
+ Extensive Technical Skills – Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL.

Experience with large-scale distributed systems is a plus.
+ Strong Creative Thinking & Problem-Solving Skills – Passion for tackling complex business challenges, improving customer experience, and driving measurable impact.
+ Excellent Communication – Ability to articulate ML concepts to both technical and non-technical stakeholders.

**Why Join Us?**

+ Real-World Impact: Your models will directly drive revenue and shape how millions of users find success with connections from Realtor.com.
+ Technical Challenges: Work on some of the toughest ML optimization and AI challenges in real estate.
+ Growth & Leadership: Play a key role in mentoring and shaping the ML strategy for a growing team.
+ Culture of Innovation: We foster an agile, experimentation-driven culture that rewards curiosity and bold ideas.
+ Best-in-Class Benefits: Medical, dental, 401(k) match, tuition reimbursement, unlimited PTO, and more.

**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

**Join Us & Shape the Future of Real Estate AI!**
If you’re excited about building AI-driven solutions that revolutionize real estate, apply today!

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.


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Unlock Your Staff Machine Potential: Insight & Career Growth Guide


Real-time Staff Machine 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 Staff Machine in Scottsdale, United States, highlighting market share and opportunities for professionals in Staff Machine roles.

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Are You Looking for Staff Machine Learning Engineer Job?

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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 Staff Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Scottsdale. 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 Staff Machine Learning Engineer?

Key qualifications for Staff Machine Learning Engineer 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.

How Can I Improve My Chances of Getting Hired for Staff Machine Learning Engineer?

To improve your chances of getting hired for Staff Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Staff Machine Learning Engineer Job Success

Realtor.com interview tips for Staff Machine Learning Engineer

Here are some tips to help you prepare for and ace your Staff Machine Learning Engineer 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.

Additional Tips:

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 Staff Machine Learning Engineer 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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