Jr) Machine Learning; ML) Developer

# (Jr) Machine Learning (ML) Developer Laminar (Formerly H2

Ok Innovations)
Somerville, MA (Hybrid)
Full-time $89,000 – $141,000 / yearAI tools:

PyTorchJAXTensor Flow Upload  your resume once and Scout applies for you Apply with Scout Share this job:

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This early-career developer will build and refine machine learning models used to optimize industrial fluid and process manufacturing. The work spans sensor-data pipelines, model experiments, reliability monitoring, and production ML tooling, in collaboration with ML and data scientists.
* Permanent* Hybrid
* Recent graduate### Skills and expertise

Python Py Torch JAXTensor Flow Num Py Polars Pandasscikit -learn### Key responsibilities
* Build machine learning models for industrial process optimization using Laminar’s sensor data.
* Design experiments and evaluate models for accuracy, generalizability, and robustness.
* Develop sensor-data pipelines, model monitoring, and ML infrastructure with the team.## How this job compares

Compared with 37 open junior machine learning jobs on October 10, 2026.Pay:
This job pays $89K to $141K a year. The 12 open junior machine learning jobs that publish US pay start at $128K on average, so this job starts about 31% lower.

Similar open jobs:
We Love AI Jobs lists 37 open junior machine learning jobs at 26 companies.

Remote work:
This job is hybrid. 0 of the 37 junior machine learning jobs (0%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. Developing and evaluating machine learning models is the core of the role. The models use spectral and multimodal sensor data to support real-time understanding and optimization of manufacturing processes.## Full description

Machines learned to understand language. We’re 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 didn’t 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 world’s 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…