Job Description
Job Description
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.
What You Will Do
About You
Benefits
Learn How We Think
Opportunity for Growth.
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
Phone screen with Laminar Head of Ops or Recruiter (15-20 minutes)
Intro call with Hiring Manager (30 minutes)
Depending on the role, a skills exercise that should take no longer than an hour to prep
On-site interview, including short tour of GTL, overview of tech, and interview / presentation with the Hiring Manager and a few team members
Two professional references
Background check
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 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.
Machine Learning Engineer • Somerville, MA, US