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 to both technical and non-technical audiences.
- Collaborate with data science, software, and product teams to continually improve performance and reliability.
- Travel on-site to customer facilities (10–20%) to gain firsthand process understanding and ensure successful deployments.
Job Requirements
- Strong preference for a background in chemical engineering or chemistry; process or mechanical engineering background is also considered.
- Strong data analysis skills.
- Skilled in Python (NumPy, Pandas), MATLAB, or R; experience with ML libraries is a plus.
- Experienced in working with sensor and time-series data.
- Confident communicator and presenter, comfortable leading discussions with customer stakeholders.
- Able to work in industrial plant environments and collaborative cross-functional teams.
- Startup mindset — adaptable, hands-on, and focused on delivering impact.
