Staff Machine Learning Engineer

Realtor Agent • Scottsdale, AZ

70d

About The Position

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.

Requirements

• PhD/MS in computer science, statistics, mathematics, operations research or related fields.
• 2 years of relevant experience in data science, machine learning or applied statistics.
• Strong background in information retrieval, forecasting, recommendation systems, or related ML applications.
• Hands-on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar.
• Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL.

Nice To Haves

• Experience with causal ML.
• Experience with large-scale distributed systems.

Responsibilities

• Lead the full ML lifecycle to design and deploy cutting-edge models that directly drive revenue and improve customer experiences.
• Develop scalable, production-ready ML models for monetization, pricing optimization, and intelligent recommendations.
• Mentor a team of machine learning engineers in best practices for model development, deployment, and optimization.
• Collaborate with cross-functional teams to identify high-impact opportunities and translate them into AI-driven solutions.
• Deploy models at scale using cloud platforms and containerization technologies.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Real Estate
• Education Level: Master's degree