Machine Learning (ML) Applications Engineer- Chemical/Process Engineering- Hiring multiple

Laminar • Somerville, MA

9h • $82,000 - $101,000

About The Position

Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future. As our company grows and scales, we are excited for a ML Applications Engineer to join the team! As an ML Applications Engineer, you’ll lead the charge in bringing our optimization models to life — starting with Clean-In-Place (CIP) processes and expanding into other critical operations. You’ll work directly with customer process teams, dig into real production data, fine-tune our machine learning models, and present to customers so they deliver measurable results. Your work will directly drive customer success, renewals, and expansion — making you a key player in scaling our impact worldwide.

Requirements

• Strong preference for a background in chemical engineering or chemistry. We will also consider process or mechanical engineering background.
• Strong Data Analysis Skills
• Skilled in Python (NumPy, Pandas), MATLAB, or R; experience with ML libraries (Scikit-Learn, TensorFlow, PyTorch, JAX) is a plus
• Experienced in working with sensor and time-series data
• Confident communicator and presenter, comfortable leading discussions with customer stakeholders and creating compelling data visualizations
• Able to work in industrial plant environments, lab settings, and collaborative cross-functional teams
• Startup mindset — adaptable, hands-on, and focused on delivering impact

Nice To Haves

• experience in manufacturing sectors like chemicals, food & beverage, brewing, dairy, or pharmaceuticals

Responsibilities

• Own the post-sales deployment of H2Ok’s optimization models for CIP and other processes
• Partner with customer teams to understand their operations, align on success metrics, and ensure models deliver in their environment
• 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, and guiding them to understand the data and our tool
• 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

Benefits

• Direct impact on product and culture.
• Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more.
• 401k plan with employer matching
• Equity
• Competitive salary and bonus opportunities.
• Dynamic and inclusive work environment.
• Opportunities for growth and professional development.
• Access to Greentown Labs' extensive network of cleantech startups.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed