Remote Industrial AI & Optimization Lead Engineer

Baker Hughes; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible working

Private medical care

Education assistance

Parental leave

Life insurance and disability

Job summary

Baker Hughes is seeking a Lead Industrial AI & Optimization Engineer to drive machine learning and hybrid modeling for industrial processes across energy and industrial assets.

You will collaborate with product managers, software engineers, process engineers, data scientists, and UX teams to deliver scalable solutions and advance asset performance while working in a flexible remote US role.

Qualifications

• Bachelor’s or Master’s degree in a technical discipline is required.
• Experience developing machine learning models for engineering, industrial, time-series, or process systems applications.
• Knowledge of process modeling, dynamic simulation, and advanced process control.
• Strong Python programming skills with scientific/machine learning libraries.
• Experience with neural networks (RNNs, LSTMs, CNNs, transformers) and sequence modeling.

Responsibilities

• Develop ML and hybrid modeling solutions for industrial process applications (neural networks, RNNs, CNNs, transformers, time-series).
• Leverage process engineering and real-time optimization to build robust ML algorithms.
• Evaluate model performance, uncertainty, robustness, maintainability, and scalability in deployment.
• Support integration of ML models with optimization workflows, control systems, data historians, cloud platforms, and enterprise software.
• Design, train, validate, and deploy models using Python and related libraries.
• Define best practices for ML model lifecycle management (data, features, experiments, governance, monitoring).
• Collaborate with product managers, software engineers, process engineers, data scientists, UX teams, and customer-facing teams.

Skills

Machine learning

Advanced process control

Python programming

Data-driven modeling

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in a technical discipline

Tools

Python

Cloud platforms

Job description

Baker Hughes is seeking a Lead Industrial AI & Optimization Engineer to drive machine learning and hybrid modeling for industrial processes across energy and industrial assets.

You will collaborate with product managers, software engineers, process engineers, data scientists, and UX teams to deliver scalable solutions and advance asset performance while working in a flexible remote US role.