Experienced AI/ML Applied Researcher (Industrial AI)

TL;DR

Experienced AI/ML Applied Researcher (Industrial AI): Developing and deploying advanced machine learning models for industrial machine health and process monitoring with an accent on anomaly detection and multi-modal data integration. Focus on building production-ready models using time-series data, LLMs, and GNNs to provide actionable insights for industrial manufacturers.

Company

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

What you will do

• Own the full algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
• Research and build anomaly classification, predictive, and recommendation models using sensor time-series data, text, and images.
• Ensemble multi-modalities using deep learning, Transformers, GenAI, and Graph Neural Networks (TGNN, Graph Transformer).
• Develop LLM-based agents, reasoning chains, guardrails, and ML-based vectorization using models like GPT, Claude, and Gemini.
• Collaborate with product teams and customers to develop innovative solutions utilizing new data types.
• Work with cloud-based big data platforms including Metaflow, Grafana, Outerbounds, and Databricks for distributed processing and experiments.

Requirements

• M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
• 4+ years of experience in ML applications, specifically with time-series data, ML-based vectoring, and Embeddings (including Transformers).
• Proficiency in Python and the Applied Science SDLC, covering discovery, research, deployment, and monitoring.
• Proven experience in anomaly detection and optimizing recall, precision, and tail metrics KPIs.
• Hands-on experience with MLOps infrastructure such as Vertex AI or SageMaker.
• Ability to translate complex research into scalable, production-ready solutions within Agile teams.

Nice to have

• Experience in feature engineering-based signal processing.

Culture & Benefits

• Stock options.
• Paid parental leave.
• Flexible PTO.
• Inclusive, people-first organization committed to diversity and equal opportunity.