Startups · AI

(Jr) Machine Learning (ML) Developer

Laminar · Boston, MA · Hybrid

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About Laminar

Enterprise systems delivery without the turbulence. Backed by Techstars.

About 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 Laminar’s machine learning models – the heart of our process optimization technology. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role

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...

Read the full posting on Laminar's site ↗

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