Machine Learning Engineer

• Implements data preprocessing steps, baseline models, and evaluation approaches under supervision
• Contributes small, well-defined components of ML workflows (e.g., dataset preparation, training utilities, evaluation scripts) with guidance
• Supports integration of ML models into existing systems and services, coordinating with engineering partners as needed
• Follows established practices for reproducibility, logging, monitoring, and secure development throughout the ML lifecycle
• Collaborates with teammates and partner teams to validate end-to-end functionality prior to release
• Learns and applies team processes related to security, privacy, accessibility, and responsible AI in day-to-day work

• Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• Proficiency in one programming language (Python preferred) and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
• Understanding of ML and GenAI fundamentals (e.g., supervised learning, evaluation metrics, overfitting/underfitting, regularization, embeddings, tokenization, transformers)
• Ability to manipulate structured and unstructured data (e.g., pandas, SQL)
• Familiarity with Git, code reviews, testing, and debugging in a collaborative environment
• Interest in learning deployment patterns, monitoring/observability, and responsible AI practices

Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience