Principal ML Engineer — Industrial AI for Manufacturing & MRO

Teli Labs; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity options

5% 401(k) contribution

Free team lunch 1x/week

Private health insurance

Enhanced parental leave

20 days annual leave (+ holidays)

Personal development support

Gympass / Wellhub

Flexible Spending Account

Job summary

PhysicsX is hiring a Principal Machine Learning Engineer in New York, NY. You will lead the design and deployment of production ML systems for manufacturing and MRO data, working closely with data scientists and customers on-site to embed cutting-edge AI into tools used on the shop floor.

With 5+ years in industry (post Masters/PhD), you will mentor teams, define architecture for ML data systems, and drive measurable outcomes. Travel 3–4 weeks per quarter to customer sites worldwide.

Qualifications

• Experience shipping ML systems in production on industrial data.
• Ability to mentor engineers and data scientists.
• Experience collaborating with on-site customers.
• Strong track record in data and ML system architecture.

Responsibilities

• Own the ML approach to manufacturing and MRO data, from modelling through deployment in customer production environments (cloud, on‑prem and edge).
• Build production ML on sparse, drifting, miscalibrated process and sensor data (process logs, sensor traces, inspection records, small DoE sets).
• Choose between physics simulation, reduced-order and learned models, and fuse simulation with shop-floor measurement where the two disagree.
• Set the UQ and validation standards for process recommendations against a qualified window; design experiments where machine time is costing.
• Make models transferable across machines, material lots and consumable batches.
• Define the product requirements that manufacturing and MRO place on the PhysicsX platform.
• Lead scoping and architecture for data and ML systems; communicate results and trade-offs to stakeholders.
• Build end-to-end training and inference pipelines and APIs (Python, PyTorch, Pandas, FastAPI, SciPy, Kubeflow, among others).
• Travel to customer sites worldwide, 3–4 weeks per quarter.

Skills

Production ML

ML deployment

Python

PyTorch

Pandas

FastAPI

SciPy

Kubeflow

3D data

Mesh data

Education

Master's degree or PhD in a related field

Tools

PyTorch

Kubeflow

FastAPI

Job description

PhysicsX is hiring a Principal Machine Learning Engineer in New York, NY. You will lead the design and deployment of production ML systems for manufacturing and MRO data, working closely with data scientists and customers on-site to embed cutting-edge AI into tools used on the shop floor.

With 5+ years in industry (post Masters/PhD), you will mentor teams, define architecture for ML data systems, and drive measurable outcomes. Travel 3–4 weeks per quarter to customer sites worldwide.