Staff Machine Learning Engineer

Realtor.com • Scottsdale, AZ

71d

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.

Requirements

• 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.
• 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.

Nice To Haves

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

Responsibilities

• 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.

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: Personal and Laundry Services
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees