Machine Learning Engineer II

About This Role

This Machine Learning Engineer II role contributes to building and improving machine learning models and infrastructure for real-time personalization on the Attentive platform. The role involves implementing end-to-end ML use cases within a collaborative team environment, focusing on technical depth and ownership.

Responsibilities

• Build and maintain machine learning models and pipelines used in production
• Contribute to data processing, feature engineering, model training, and evaluation workflows
• Assist in deploying, monitoring, and validating ML models in production environments
• Partner with senior engineers and product managers to implement ML-driven features
• Write high-quality, well-tested code and help prevent regressions through testing and monitoring
• Learn and apply best practices in ML engineering, system reliability, and scalability
• Participate in design discussions, code reviews, and team knowledge sharing
• Grow technical skills in a fast-paced, high-impact environment

Requirements

• 3+ years of professional software engineering experience
• 2+ years working on machine learning or data-driven systems
• Proficiency in Python
• Familiarity with ML frameworks such as PyTorch, TensorFlow, or xgboost
• Experience with data analysis and processing tools such as pandas, SQL, or Spark
• Exposure to building or supporting ML pipelines for training, validation, or deployment
• Understanding of production concerns such as monitoring, performance, and data quality
• Strong collaboration and communication skills

Qualifications

• 3+ years of professional software engineering experience, with 2+ years working on machine learning or data-driven systems

Skills

* Required skills

Benefits