Machine Learning (ML) Applications Engineer- Chemical/Process Engineering
Location
Somerville, MA
Level
Entry-Level
Department
Energy
Type
Salary
Job Description
Posted on:
2025-08-15
Responsibilities
- Own the post-sales deployment of H2Ok’s optimization models for CIP and other processes
- Partner with customer teams to understand their operations and align on success metrics
- Tune and improve ML models to unlock measurable water, energy, and time savings
- Turn process and sensor data into clear, compelling stories that drive action
- Lead customer presentations and workshops, communicating results effectively
- Collaborate with data science, software, and product teams to improve performance and reliability
- Travel on-site to customer facilities (10–20%) for process understanding and successful deployments
Job Requirements
- Background in chemical engineering, chemistry, process, or mechanical engineering
- Strong data analysis skills
- Proficiency in Python (NumPy, Pandas), MATLAB, or R; experience with ML libraries is a plus
- Experience with sensor and time-series data
- Confident communicator and presenter, skilled in data visualization
- Ability to work in industrial plant environments and collaborative teams
- Startup mindset — adaptable and focused on delivering impact
