Apartment List

Compensation

Full Description

Remote (U.S.) | Data Science & Machine Learning At Apartment List, we’re on a mission to help every renter find a home they love at the value they deserve. As one of the fastest-growing online rental marketplaces, we use data and machine learning to understand renter preferences and match them seamlessly with the right property. To date, we’ve helped over one million families find a home they love — and we’re just getting started. Join us! The Opportunity Apartment List is seeking a Lead ML Ops Data Scientist to help us scale and accelerate our use of machine learning across the renter and property experience. Our Data Science team has a strong foundation and a rich roadmap of high-impact initiatives — from personalized search to real-time AI-driven journey optimization. To fully realize this potential, we need a strong leader who can bridge the worlds of data science and engineering. In this role, you’ll design and evolve the machine learning systems, infrastructure, and practices that allow us to move faster, build and deploy more sophisticated models, and drive measurable business impact. You’ll lead by doing — developing our platform and models yourself while enabling the broader team to experiment, iterate, and deploy at scale. What You’ll Do Design and implement scalable MLOps systems and practices that streamline model development, deployment, and monitoring. Partner closely with Engineering and Product to ensure data scientists can experiment and deploy models quickly, efficiently and safely. Build tools and frameworks that automate or simplify feature integration, retraining, and experimentation. Develop and deploy production models for ranking, recommendation, and personalization, leveraging modern ML architectures and frameworks. Mentor data scientists on best practices in applied ML and MLOps, fostering a culture of technical excellence and efficiency. Continuously identify and address bottlenecks in our ML workflows to expand the team’s capacity for innovation. What You’ll Bring A degree in Computer Science or Engineering, or related fields. 5+ years of experience developing, deploying, and maintaining machine learning models in production environments. Strong proficiency in Python, SQL, and cloud platforms (GCP/Vertex AI preferred). Experience building or standardizing ML platforms and infrastructure. Deep understanding of ML lifecycle management, CI/CD for ML, and monitoring tools. Hands-on experience with modern ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost), and orchestration and distributed computing tools (Airflow, MLflow, Kubeflow, Dask, Ray, or dbt). Proven ability to collaborate cross-functionally and lead technical initiatives that improve productivity and scalability. A passion for combining scientific rigor with strong engineering fundamentals. Bonus Points For: Background in recommendation systems, ranking, or personalization. Contributions to open-source or shared ML tooling initiatives. Marketplace or PropTech experience. Advanced degree in a relevant field. Why Join Us Impact: Shape the foundation of how machine learning powers every renter experience at Apartment List. Leverage: Multiply the output and effectiveness of the entire Data Science organization. Leadership: Blend hands-on technical work with strategic influence across Data Science and Engineering. Culture: A remote-first, high-bar environment where your work drives real results. We’re building a diverse and inclusive team that reflects the renters we serve. If you’re excited about this opportunity but don’t meet every qualification, we still encourage you to apply. Join us and help unlock the next era of intelligent renting at Apartment List. Here's the Pay Range: At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total Target Compensation (TTC) for this position is: Zone 1: $189,000 - $ 229,000 TTC (including $170,000 - $ 206,000 base salary) + equity Zone 2: $ 175,000 - $ 212,000 TTC (including $157,000 - $ 191,000) + equity Zone 3: $ 160,000 - $ 195,000 TTC (including $144,000 - $ 175,000 base salary) + equity This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.