Early‑Career ML Engineer: Equity & Comprehensive Benefits

Laminar, Inc.; Boston, Northern (MA, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Equity

401(k)

Transportation benefit

Wellness benefit

Greentown Labs membership

Paid holidays

Job summary

Laminar, Inc. in Boston, MA is seeking an ML Developer to own the development and refinement of Laminar’s machine learning models—the heart of our process optimization technology.

You will collaborate with ML/Data Scientists to bring models from prototype to production, scale training, run experiments, and drive reliability across CIP, product changeovers, and sensor data.

This role offers strong ownership, opportunity to impact multiple domains, and access to a comprehensive benefits package.

Qualifications

• Proficient in Python ML frameworks (PyTorch, JAX, TensorFlow).
• Strong experience with numeric Python libraries (NumPy, Pandas, scikit-learn).
• Familiarity with ML experimentation, training pipelines, and model evaluation.
• Experience with cloud platforms and Databricks is a plus.

Responsibilities

• Build machine learning models for next-gen industrial processes using Laminar’s spectral sensors and software platform.
• Design and run experiments to evaluate generalizable and robust models across domains.
• Work with spectral data and sensor data to derive meaningful features and insights.
• Support model reliability through monitoring for drift and anomalies; improve tooling and infrastructure.
• Collaborate with ML/Data Scientists and software teams to scale models from prototype to production.

Skills

Python

NumPy

Pandas

Scikit-learn

PyTorch

JAX

TensorFlow

Tools

Polars

Databricks

AWS

GCP

Job description

Laminar, Inc. in Boston, MA is seeking an ML Developer to own the development and refinement of Laminar’s machine learning models—the heart of our process optimization technology.

You will collaborate with ML/Data Scientists to bring models from prototype to production, scale training, run experiments, and drive reliability across CIP, product changeovers, and sensor data.

This role offers strong ownership, opportunity to impact multiple domains, and access to a comprehensive benefits package.