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Machine Learning (ML) Applications Engineer- Chemical/Process Engineering- Hiring multipleLaminar (formerly H2Ok Innovations) • Somerville, MA, US
Machine Learning (ML) Applications Engineer- Chemical/Process Engineering- Hiring multiple
Laminar (formerly H2Ok Innovations) • Somerville, MA, US
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]
Job Description
Job Description
What You Will Do
At Laminar (formerly H2Ok Innovations), we're leading the charge in cleantech innovation, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our Laminar AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, and Mitsubishi Electric. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0.
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.
- 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
- 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
- Bonus: experience in manufacturing sectors like chemicals, food & beverage, brewing, dairy, or pharmaceuticals
- 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.
- Learn about our startup journey: Our Journey
- How we're combating climate change: AI-Powered Climate Tech
Our pay ranges are established per Pave Compensation Software. We’re also proud to offer equity in our fast-growing startup and one of the most comprehensive benefits packages among startups at our stage. Laminar pays 100% of the individual health insurance premium for HMO medical, vision, and dental, offers flexible PTO, a $90/month transportation benefit, a $65/month health and wellness benefit, FSA, 12 company-paid holidays, an employer-matching 401(k) (unheard of at this stage!), and Greentown Labs membership, among other valuable resources. (*subject to change)
Why Laminar (formerly H2Ok Innovations)?
Impact: Work on cutting-edge AI and sensor tech that’s already transforming how factories use water, energy, and chemicals. Join a tight-knit, ambitious team where your contributions can reshape the industry.
Growth: Join a fast-growing startup where you’ll have the opportunity to shape our content strategy. We value fostering extraordinary growth in our teammates.
Innovative Culture: Work in a high-performance environment that values empowerment, creativity, ownership, autonomy, innovation, excellence, passion, and continuous growth.
Sustainability Focus: Play a key role in promoting sustainability and Industry 4.0 advancements in manufacturing.
Build the intelligence layer powering the next generation of industrial efficiency – with a team that moves fast and delivers real impact.
Our Interview Process
1. Phone screen with Laminar Head of Ops or Recruiter (15-20 minutes)
2. Intro call with Hiring Manager (30 minutes)
3. On-site interview, including short tour of GTL, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually.
4. Finalists for Full-Time positions will have a Founder’s Interview in-person
Final steps:
Two professional references are requested, ideally one from your current organization and one who served as your Manager
If an Offer Letter is extended, a Background check is conducted
A recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Laminar (formerly H2Ok) is committed to building a diverse and inclusive team. So, to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply! If you're ready to play a key role in scaling a game-changing company that’s transforming the industrial sector and advancing sustainability, we want to hear from you!
* We recently updated our domain to runlaminar.com. Please ensure you add the runlaminar.com domain to your safe senders list to ensure you receive our communications.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Machine Learning (ML) Applications Engineer- Chemical/Process Engineering- Hiring multiple • Somerville, MA, US
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