Machine Learning Engineer

Responsibilities

• Own the full machine learning lifecycle, including problem scoping, data exploration, pipeline development, model training, deployment, and production monitoring.
• Design and build Agentic AI systems that combine time-series modeling, signal processing, and generative AI (LLMs, embeddings, and orchestration frameworks).
• Develop and deploy models for forecasting, anomaly detection, and pattern recognition within industrial sensor data.
• Build scalable data pipelines and ML systems that operate reliably in production environments.
• Collaborate with Product, Engineering, and Algorithm teams to translate customer needs into technical implementations.
• Implement robust evaluation, monitoring, and drift detection systems for live ML and Agentic applications.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 4+ years of experience in Machine Learning, Applied AI, or related fields.
• Proven ability to deliver end-to-end ML systems in production environments.
• Strong experience in time-series modeling, forecasting, and anomaly detection.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Familiarity with generative AI systems, including LLMs, embeddings, and agent-based architectures (e.g., LangChain, LangGraph).
• Strong understanding of data pipelines and production ML operations (deployment, monitoring, and retraining).

Preferred Qualifications

• Experience in industrial AI, IoT, predictive maintenance, or manufacturing systems.
• Exposure to digital twins, context graphs, or knowledge graph-based systems.
• Familiarity with modern data platforms such as Databricks, BigQuery, or Snowflake.
• Understanding of optimization frameworks like Pyomo, Gurobi, or OR-Tools.

Benefits

• Stock options
• Paid parental leave
• Flex PTO

About the Company

Augury is a leader in Machine Health and Process Health solutions, using purpose-built AI technology to help industrial sectors transform how they work. We provide manufacturers with the intelligence and AI agents needed to prevent machine failures, reduce waste, and achieve sustainable production.