Apartment List
Lead ML Ops Data Scientist
bRemote (U.S.) | Data Science & Machine Learning At Apartment List, we’re on a mission to help every renter find a home they love… The Opportunity
…bridge the worlds of data science and engineering… 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, scikitlearn, 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. Pay Range
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
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bRemote (U.S.) | Data Science & Machine Learning At Apartment List, we’re on a mission to help every renter find a home they love… The Opportunity
…bridge the worlds of data science and engineering… 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, scikitlearn, 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. Pay Range
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
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