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Machine Learning (ML) Applications Engineer- Chemical/Process Engineering- Hiring multiple jobs in United States
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Laminar (Formerly H2Ok Innovations) · 3 months ago

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

Laminar (formerly H2Ok Innovations) is a leading cleantech innovation company focused on enhancing operational efficiency and sustainability in foundational industries. They are seeking a Machine Learning Applications Engineer to deploy optimization models and work directly with customer process teams to drive measurable results and customer success. This role involves tuning ML models and collaborating with various teams to improve performance and reliability.
Artificial Intelligence (AI)Food and BeverageIndustrialConsumer GoodsWellnessManufacturingIndustrial AutomationPersonal Care and HygieneSensor

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

Qualification

Machine LearningData AnalysisPythonChemical EngineeringSensor DataData VisualizationConfident CommunicatorStartup MindsetCollaboration

Required

Strong Data Analysis Skills
Skilled in Python (NumPy, Pandas), MATLAB, or R
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

Preferred

Strong preference for a background in chemical engineering or chemistry. We will also consider process or mechanical engineering background
Experience with ML libraries (Scikit-Learn, TensorFlow, PyTorch, JAX) is a plus
Bonus: experience in manufacturing sectors like chemicals, food & beverage, brewing, dairy, or pharmaceuticals

Benefits

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
Laminar pays 100% of the individual health insurance premium for HMO medical, vision, and dental
Offers flexible PTO
$90/month transportation benefit
$65/month health and wellness benefit
FSA
12 company-paid holidays
An employer-matching 401(k) (unheard of at this stage!)
Greentown Labs membership, among other valuable resources

Company

Laminar (Formerly H2Ok Innovations)

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Laminar (Formerly H2Ok Innovations) is transforming how food and beverage factories run by using its in-line sensors and turnkey AI solution to unlock lost production time.

Funding

Current Stage
Early Stage
Total Funding
$19.84M
Key Investors
Greycroft2048 Ventures2048 Ventures,Techstars
2025-07-16Series A· $12M
2023-07-22Series Unknown· $6.8M
2022-08-16Seed

Leadership Team

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Annie Lu
CEO, Co-founder
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Company data provided by crunchbase