Senior Machine Learning Engineer - Recommender Systems

About the Role

We are looking for a Senior Machine Learning Engineer to join our fully remote team at Factored. In this role, you will focus on building state-of-the-art recommender systems and leveraging Generative AI to enhance personalized experiences. As a Senior Machine Learning Engineer remote, you will work with large-scale data using tools like Databricks and Spark, contributing to innovative AI solutions that drive customer engagement.

What You'll Do

• Design and implement recommender systems to improve product discovery and enhance customer engagement across digital and physical platforms.
• Build and manage scalable machine learning pipelines for data processing, feature engineering, model training, and deployment using tools like Databricks and Spark.
• Apply and optimize advanced machine learning models for recommendation systems, including Wide & Deep models, Two-Tower architectures, Transformer-based models, and deep sequential models.
• Collaborate closely with software engineers, data scientists, and business stakeholders to integrate models into production systems and solve real-world business challenges.
• Monitor, maintain, and continuously enhance deployed models to ensure reliability, accuracy, and alignment with evolving business needs.
• Stay informed on the latest advancements in machine learning, recommender systems, deep learning, and Generative AI to drive innovation and improvement.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of proven experience as a Machine Learning Engineer, demonstrating successful development and deployment of Machine Learning models.
• Minimum 1 year of hands-on experience designing, building, and deploying recommender systems.
• Strong programming skills in Python with experience in machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of machine learning techniques relevant to recommendation systems, including Wide & Deep models, Two-Tower models, Transformers, embeddings, and neural networks.
• Extensive experience handling large-scale data processing and analysis using Spark/PySpark within Databricks.
• Excellent verbal and written communication skills in English.

Nice to Have

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker).
• Strong knowledge of experimental design, A/B testing, and performance evaluation metrics for machine learning solutions.

What We Offer

• Ownership through equity participation.
• Annual company retreat.
• Education bonus for continuous learning.
• Company-wide winter break.
• Paid time off.
• Optional in-person events and meetups.
• Tailored career roadmaps.
• High-performance culture.

At Factored, we believe in a transparent workplace where everyone has a voice in building our company. We hire passionate individuals who are not only intelligent but also collaborative and kind. Join us as a Senior Machine Learning Engineer remote and be part of a community that values learning, ownership, and authenticity.