Machine Learning Engineer

Machine Learning Engineer \| Computer Vision \& Edge AI

Location:

Pittsburgh, PA (on-site; relocation available)

Compensation:

$125K–$175K base \+ early-stage equity

We’re partnering with an early-stage AI company building real-time quality inspection systems for manufacturers. Their platform combines high-resolution cameras, edge hardware, and machine learning to catch product defects as they happen—reducing waste, rework, and manual inspection.

They are looking for a hands-on Machine Learning Engineer to own the computer-vision models at the center of the platform. You’ll work with real production-line imagery, develop defect and anomaly-detection models, and deploy them on edge hardware where speed and reliability matter.

WHAT YOU’LL DO

• Build, train, evaluate, and improve computer-vision models for defect detection and classification
• Develop anomaly-detection approaches for rare, changing, or poorly labeled defects
• Optimize and deploy models to edge hardware, balancing accuracy, latency, and throughput
• Work closely with hardware and embedded engineers across the inspection pipeline
• Improve data workflows: labeling, curation, augmentation, retraining, and production monitoring
• Diagnose production model issues and help establish ML tooling and best practices

WHO YOU ARE

• 3\+ years of ML engineering experience with a strong computer-vision focus
• Strong Python and hands-on PyTorch or TensorFlow experience
• Experience training, evaluating, and deploying deep-learning models in production
• Solid grounding in classical computer vision and image processing, including OpenCV or similar tools
• Familiarity with edge inference and model optimization: ONNX, TensorRT, quantization, CUDA, NVIDIA GPUs, latency profiling, or related tools
• Comfortable working with messy real-world data and moving quickly in a startup environment
• Willing to work on-site in Pittsburgh, PA

PREFERRED EXPERIENCE

• Manufacturing, industrial inspection, machine vision, robotics, or other high-throughput visual systems
• Visual anomaly detection, unsupervised/self-supervised learning, or rare-event classification
• Vision-language models, zero-/few-shot classification, or multimodal AI
• AWS/GCP, NVIDIA edge platforms, CUDA, embedded AI, or startup experience

WHAT WE OFFER

• $125K–$175K base salary plus meaningful early-stage equity
• A high-ownership role on a growing, well-funded technical team
• The opportunity to build ML systems that make an immediate impact in real manufacturing environments
• Relocation support and a collaborative, in-person engineering culture
• Roughly 50-hour workweeks on average, with no expected weekend work

If you enjoy taking computer-vision models from experimentation to reliable, real-world deployment, we’d love to hear from you.