AI Applied Scientist (Industrial AI)

TL;DR

AI Applied Scientist (Industrial AI): Developing and deploying advanced machine learning models and agentic applications for industrial machine health with an accent on time-series analysis, recommendation systems, and LLM-based reasoning. Focus on building scalable, production-ready AI solutions that transform real-time sensor data into actionable industrial insights.

Company

hirify.global is a leader in Machine Health and Process Health solutions, utilizing purpose-built AI technology to help industrial manufacturers optimize production and machine performance.

What you will do

• Own the full algorithm lifecycle from problem definition and data analysis to production deployment.
• Research and build agentic applications integrating sensor time-series data, text, and images.
• Develop models using statistics, deep learning, anomaly detection, and recommendation systems.
• Collaborate with product and engineering teams to deliver innovative, scalable AI solutions.
• Leverage modern cloud-based big data platforms and LLM frameworks like LangGraph and CrewAI.

Requirements

• M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or related field.
• 5+ years of experience in ML modeling for time-series data, vectorization, and embeddings.
• 2+ years of experience in LLM and agentic application workflows, including fine-tuning and evaluation.
• Proficiency in Python for model development, deployment, and monitoring.
• Proven ability to translate research into scalable, production-ready solutions.
• Experience working in cross-functional Agile teams.

Nice to have

• Experience in anomaly detection and signal processing.
• Experience in optimizing costs of API calls.

Culture & Benefits

• Stock options provided.
• Flexible Paid Time Off (Flex PTO).
• Paid parental leave.
• Inclusive, people-first organizational culture.
• Commitment to diversity and equal opportunity employment.