(Jr) Machine Learning (ML) Developer

Machines learned to understand language. Were teaching them to understand matter.

Forty percent of global manufacturing happens through physical and chemical processes inside pipes tanks and reactors. Despite decades of industrial automation much of what happens inside them remains remarkably invisible. Manufacturing is the most ubiquitous and foundational sector in global economy yet the way factories are fundamentally run have used the same control philosophies manual operations and legacy software for the past 60 years.

Laminar deploys state-of-the-art patented sensors and edge hardware directly into live production environments generating data that didnt previously exist to build foundation models deployed in factory floors that understand chemistry composition quality and material state in real time. We use that understanding to run autonomy and rethink how things are made.

The last generation of industrial automation taught machines to execute instructions reliably. The next will teach them to understand the processes they control and run autonomously adaptively and agentically: higher quality safety more efficiently sustainably and productively.

That future is already taking shape. Today Laminar works with 7 of the worlds 10 largest food and beverage manufacturers and operates across hundreds of factories globally across six continents. Our systems have materially reduced waste cut manufacturing downtime saved water chemicals energy and helped prevent safety and quality failures. Our technology has gained international recognition from being selected as a 2026 World Economic Forum Technology Pioneer Gold 2026 Edison Award Unilever Startup of the Year to Innovator Awards by both Coca-Cola and AB InBev and more.

We are backed by tier-one investors in physical AI to make intelligent self-improving production the new standard for industry.

Join us to build what makes matter intelligible and the intelligible controllable.

The Role

As our company grows and scales we are excited for a ML Developer to join the team! We are looking for ambitious hard-working recent graduates who want to be at the forefront of bringing AI to fluid & process manufacturing . As a ML Developer you will own the development and refinement of Laminars machine learning models the heart of our process optimization technology. Your work will affect all of Laminars key process optimization models across domains including (but not limited to): CIP (clean-in-place) product changeovers material identification and emerging use-cases.

Youll work closely with ML/Data Scientists to bring cutting-edge models all the way from prototype to production. This entails scaling up model training methodologies crafting experiments and running ablation studies across a wide and diverse range of domains all with the goals of increasing model accuracy and reliability. Your work will be instrumental to hyper-scaling Laminars solutions and unlocking key markets through enabling new use-cases.

What You Will Do

• Build machine learning models that usher in the next generation of data-driven fluid-based industrial processes powered by Laminars proprietary spectral sensors and software platform
• Design and run experiments to evaluate and select machine learning models that are generalizable accurate and robust to day-to-day process variability
• Work with spectral and multi-modal sensor data building preprocessing and feature extraction pipelines that can derive insights from noisy real-world sensors
• Support model reliability by developing monitoring (and correction systems when applicable) for model drift sensor drift and process anomalies
• Develop performant ML infrastructure and tooling in collaboration with ML/Data Scientists and software team members
• Work across problem domains including chemometrics hybrid modeling and self-supervised learning. Modeling tasks include distribution modeling drift and anomaly detections similarity analyses and continuous calibration

About You

• Proficient in at least one Python ML framework (PyTorch JAX TensorFlow)
• Fluent with Python packages for numeric computing and data workflows (e.g. NumPy Polars Pandas scikit-learn)
• An engineer who favors clean testable code and has a proven track record of delivering high-quality work on a timeline
• An executor who thrives with direction and can independently complete technical project objectives
• Someone detail-oriented who has a natural curiosity about data. You are enthusiastic to test out hypotheses understand in detail how our models work and run physical experiments to improve our modeling capabilities.

Preferred:

• Chemical engineering process engineering or manufacturing domain knowledge (highly valued)
• Experience with cloud environments (AWS GCP) and/or Databricks
• Familiarity with spectral data time-series modeling or sensor-driven ML
• Familiarity with Bayesian modeling and probabilistic reasoning
• Experience building real products (ideally utilizing machine learning) and practicing user-centric design

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.
• Transportation benefit for your commute
• A team that celebrates together from rooftop lunches ping pong matches Lunch & Learns and regular team events

Learn How We Think

• Learn about our startup journey: Our Journey
• How were combating climate change: AI-Powered Climate Tech
• A customer story: Unilever uses Laminar precision automation to cut time & water usage

$89000 - $141000 a year

Our pay ranges are established per Pave Compensation Software. Were 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)

There are many easier places to work on AI. Laminar is for people who want the hardest version of their discipline. Models here must survive contact with physics. Hardware must survive years of continuous industrial operation. Software must integrate with machinery built decades ago. Everything we build ultimately has to work on a factory floor.

We believe exceptional people should be given exceptional amounts of ownership. At Laminar you will have the context to form your own view the permission to challenge ours and the resources to pursue the right answers whatever technical or organizational boundaries stand in the way. There are few layers between identifying something important and changing it.

Were fortunate to work with a small polymathic team of hardware and software engineers chemists AI researchers factory operators and go-to-market wizards who are unusually capable curious rigorous ambitious and low-ego. If that sounds like you wed love to meet you.

Our Interview Process

1. Phone screen with Laminar HR/Recruiter (15-20 minutes)

2. Intro call with Hiring Manager (30 minutes)

3. On-site interview 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 Founders ahead of their Founders Interview. If you are not local we can conduct this virtually.

4. Finalists for Full-Time positions will have a Founders 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

Laminar is committed to building a diverse and inclusive team. Even if you are unsure you are a perfect fit we strongly encourage you to apply! If youre ready to play a key role in scaling a game-changing company thats transforming the industrial sector and advancing sustainability we want to hear from you.

Please ensure you add the 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Required Experience:

Junior IC