Neuramill’s mission is nothing short of building the intelligence layer for the factories of the future. We’re starting by automating CAM setup and CNC programming for aerospace, defense, and robotics where precision, reliability, and speed matter most and we’re seeing strong early momentum.

If you’re excited about high-impact AI systems, real-world manufacturing problems, and building deep technical infrastructure at industrial scale, read on.

We're hiring a Machine Learning Engineer (US–IST time zones) to join our small team of A+ people and build the foundations of Neuramill. Email us directly at [email protected]

Why join

As a small team, we work in a highly collaborative environment and you'll have the opportunity to participate in every part of the business from idea to production.

Impact: Build the foundation and shape engineering practices, team, and company culture.

Excellence: Practice your craft with other ICs in a well-organized, fast-paced environment.

Ownership: Influence the direction of product and strategy — we care about your opinions.

What you'll do (responsibilities)

We’re looking for an experienced ML Engineer who enjoys working alongside product engineers, manufacturing experts, and designers to quickly build and iterate on AI systems that directly power CAM setup and CNC programming.

• Build the intelligence layer for manufacturing. You’ll design, train, and deploy ML systems that understand CAD geometry, manufacturing constraints, and machining intent—shipping models that directly generate real CAM decisions used in production.
• Own models end-to-end, from research to production. Work across the full ML lifecycle: data ingestion, labeling strategy, feature extraction from CAD/STEP files, model training, evaluation, deployment, and continuous improvement based on real factory feedback.
• Apply ML to real-world geometry and process data. Build models for tasks like feature recognition, tool and operation selection, setup planning, tolerance-aware reasoning, and failure detection—where correctness and reliability matter more than benchmarks.
• Collaborate deeply with the platform and product. Integrate models into production, serving predictions at low latency and high reliability. You’ll work closely with backend engineers to design clean interfaces, versioned models, and safe rollouts.
• Design scalable ML infrastructure. Build and maintain training pipelines, evaluation frameworks, and inference systems using Python, PyTorch/TensorFlow, PostgreSQL, Redis, and AWS. You’ll influence architecture decisions around data storage, model serving, monitoring, and retraining.
• Ship production-grade ML, not demos. Implement model monitoring, drift detection, offline evaluation, and human-in-the-loop workflows. Your work will run in production environments where mistakes are expensive and trust is earned.
• Solve hard, open-ended problems. Tackle deeply challenging problems at the intersection of AI and manufacturing—from reasoning over 3D geometry and sparse data to building systems that learn from expert machinists and continuously improve.

What we're looking for (qualifications)

You're a senior IC that has built such complicated systems before. We don't require any formal qualifications but value learning new skills — especially from one another. We are looking for someone that feels a sense of duty to the users of their work.

• Highly productive while producing quality code. You enjoy pushing out features in a pragmatic and maintainable way. You know when to use duct tape and when to lay a foundation.