Hybrid Junior ML Developer — Industrial Process AI

We Love AI Jobs; Somerville, Northern (MA, KY); Hybrid; USD 89,000 - 141,000; Full time

Job summary

Laminar invites an early-career ML Developer to build and refine machine learning models for industrial optimization using proprietary spectral sensors and real-time data. You will collaborate with ML/Data Scientists to bring models from prototype to production, while enhancing preprocessing pipelines and ML tooling in a hybrid work environment.

The role emphasizes experimenting, evaluating model robustness, and improving reliability across domains such as CIP, material identification, and

Qualifications

• Recent graduate or early-career ML developer.
• Experience with sensor data pipelines or production ML workloads is a plus.
• Proficient with Python ML frameworks and data tooling.

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.
• Support model reliability with monitoring for drift and anomalies.
• Collaborate with ML/Data Scientists and software engineers to scale training and deployment.

Skills

Python

Tools

PyTorch

JAX

TensorFlow

NumPy

Pandas

Polars

scikit-learn

Job description

Laminar invites an early-career ML Developer to build and refine machine learning models for industrial optimization using proprietary spectral sensors and real-time data. You will collaborate with ML/Data Scientists to bring models from prototype to production, while enhancing preprocessing pipelines and ML tooling in a hybrid work environment.

The role emphasizes experimenting, evaluating model robustness, and improving reliability across domains such as CIP, material identification, and