đź’»Machine Learning Engineer
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India · Remote
Posted 6+ months ago
Machine Learning Engineer
Job posted
December 15, 2025
Location
SF (In - Person)
India (Remote)
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 founders@neuramill.co
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.
Curious and quick learning. We don't expect you to have experience in every technology we use, but to learn and be productive quickly. Owning several repos and jumping into all of them doesn't scare you.
Attention to detail while pragmatic. We strive for few slips in code, Git hygiene, and clear written communication — all while remaining low-ego and simply focusing on solutions.
Interested in productivity apps/systems. You might use your calendar to time block, try out Chrome extensions, configure custom app launchers, or self-optimize in other ways.
Good heart. We don't tolerate jerks and are generally just friendly people.
What we offer (compensation & benefits)
We'll treat you well. If there are any other benefits that are important to you, we'd like to hear.
Competitive salary and equity — multiple options based on your desire for ownership.
Paid time off — Unlimited PTO.
Co-working space — company-paid co-working desk in your local community.
How to Apply
Interested in learning more about what it's like to build Neuramill with us? We'd love to talk! Email our founders directly at founders@neuramill.co.
Include this role's title in your subject line.
Send along links that best showcase the relevant things you've built and done.
Tell us briefly why you're interested in joining Neuramill.
Is this role not the right fit? If you resonate with our mission and think your profile would be a great fit, send an email to founders@neuramill.co and pass along any information you believe is relevant.
This job is no longer accepting applications
See open jobs at Neuramill.See open jobs similar to "đź’»Machine Learning Engineer" Ascend.