Technical Staff, Machine Learning Engineer

The Role

Embed on-site with design partners for meaningful stretches of the year — their floor is your second office.

Build trust across the full vertical, from the GM to the technician running the station. This isn't color on the role; it is the role.

Develop genuine understanding of how each partner's shop works and why — the history, constraints, people, and physics of what moves through it.

Translate unstructured observation into concrete requirements, then build, ship, and maintain the software yourself and through the engineers you coordinate on-site and at HQ.

Write production code across the full stack — ETL, backend, micro-frontends, algorithms, hardware integrations, ML pipelines, analyses, infrastructure.

Run the process-engineering side of deployment — sequencing software changes with operational changes so the two evolve in lockstep, including the cultural work: training, change management, work instructions, quiet one-on-ones with skeptics.

Own outcomes, not deliverables. Success is measured in operational maturity and financial outcomes gained by the partner, not features shipped.

About the Role

AIC is a software-led industrial holding company. We built our operating system on a proprietary framework called Decision Physics™. Our team deploys on-site to modernize the decision-making infrastructure that changes what a factory can do.

Qualifications

1-10 years of experience in MLE development

Fundamental knowledge of ETL, backend services, micro-frontends, algorithms, hardware integrations, ML pipelines, infrastructure

1+ years of shipping production grade code

Strong EQ/Communication skills

Hard-tech, robotics, and manufacturing background or adjacency is a big plus

Benefits

We offer a competitive compensation package including a salary range of $180K - $250K, along with equity.

Pay

$180K - $250K

Schedule

Full-time