Staff Machine Learning Engineer, Personalization

Responsibilities

• Design features and build large-scale machine learning models and systems for ad targeting, relevance, ranking, and engagement.
• Implement ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery.
• Develop search relevance and user-intent modeling using LLMs, embeddings, vector search, and multimodal learning.
• Build and optimize scalable ML pipelines with Apache Spark, Airflow, Kubeflow, and MLflow.
• Process billions of user interaction records and petabytes of raw log files into consumable data objects.
• Serve complex ML models in real time and define metrics to evaluate model and business impact.
• Collaborate with product, engineering, and data science teams on technical solutions and customer experience.
• Mentor and grow engineering talent and promote technical excellence, experimentation, and continuous learning.

Requirements

• Bachelor’s degree in computer science, electrical engineering, mathematics, statistics, or a closely related field.
• 4+ years of professional experience in applied machine learning.
• Experience with machine learning, deep learning, and statistical modeling.
• Proficiency in Python and/or Java and experience building production-grade ML systems.
• Preferred experience with search systems, information retrieval, recommendation engines, LLMs, embeddings, and vector search technologies.
• Preferred experience with AWS, Google Cloud Platform, Vertex AI, BigQuery, or SageMaker.
• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, or H2O.ai is preferred.
• Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker is preferred.
• A master’s degree or PhD, startup or high-growth experience, cross-functional leadership, strong communication, independence, and ambiguity management are preferred.

Benefits

• Annual bonus of 0–20% of base salary.
• Medical, dental, vision, life, AD&D, disability, flexible spending account, health savings account, and employee assistance program benefits.
• 401(k) plan with company match.
• 18–21 days of paid time off annually based on tenure and 12 public holidays.
• Six weeks of paid parental leave.
• Pre-tax commuter benefits and a free electric car charging station.