Senior ML Engineer

Responsibilities : Design, develop, and deploy machine learning models for factory and warehouse environments. Collaborate with cross-functional teams to identify, define, and solve high-impact operational challenges. Build and maintain end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring. Evaluate and compare models using statistical methods to ensure optimal performance and feasibility. Ensure robust alerting and monitoring systems are in place for deployed models to address issues rapidly. Work with diverse datasets, integrating multiple data types such as images, sensor data, voice, text, and tabular information. Write clean, modular, and sustainable code to translate research ideas into production-ready solutions. Minimum Requirements : In-depth knowledge of Python for high-performance, data-intensive applications. Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow Expertise in one or more of the following areas : computer vision, large language models, recommender systems, or operations research. Foundational knowledge of statistics for model comparison and performance assessment. Real-world experience deploying and maintaining machine learning solutions in production environments. Passion for clean, sustainable, and modular code to bring research concepts to practical implementation. Preferred Qualifications : Experience working in manufacturing, industrial automation, or warehouse environments. Familiarity with multi-modal data integration and analysis. Strong problem-solving skills and the ability to thrive in ambiguous, fast-paced settings. Excellent communication skills for cross-functional teamwork. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship / immigration status, veteran status, or any other status protected under federal, state, or local law.