> Markdown version of [/jobs/ext/4211599-ml-developer](https://www.wearedevelopers.com/jobs/ext/4211599-ml-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# ML Developer

- **Company:** Ai. Laminar
- **Location:** Somerville, MA, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Python (Programming Language), Machine Learning, NumPy, Tensorflow, User-Centered Design, Cloud Platform System, Pytorch, Pandas, Scikit Learn, Data Analytics, Machine Learning Operations, Feature Extraction, Databricks
- **Published:** October 1, 2026
- **Apply:** https://www.juju.com/job/16_cb7db7ad

## About the Role

* 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

## Description

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 Laminar's machine learning models - the heart of our process optimization technology. Your work will affect all of Laminar's key process optimization models across domains including (but not limited to): CIP (clean-in-place), product changeovers, material identification, and emerging use-cases.

You'll 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 Laminar's 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 Laminar's 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