Edge AI/ML Engineer — Production CV & Perception

Latent AI; Princeton (NJ); In loco; USD 140.000 - 200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health, vision & dental benefits

401(k) plan

In-office in Princeton, NJ

Descrizione del lavoro

Latent AI is hiring an ML engineer to build and productionize perception and autonomous ML systems for edge devices. You will transform messy data into learnable signals and choose efficient models to meet latency and cost targets.

You will own training pipelines, inference serving, evaluation tooling, and monitoring from scratch, collaborating with customers to deliver deployable field solutions. The role emphasizes hands-on practice with Python, PyTorch, and MLOps in a startup-friendly

Competenze

• 3–5+ years of machine learning engineering experience on a small team with a track record of shipping CV/ML systems to production.
• Hands-on experience building solutions for perception and autonomous systems (e.g. computer vision).
• Built training pipelines, serving infrastructure, evaluation harnesses, and monitoring from scratch.
• Startup or small/mid-size company experience with ownership of meaningful scope and pragmatic tradeoffs.
• Deep fundamentals: feature engineering, data splits, metric selection on imbalanced data, cross-validation, and hyperparameter tuning.
• Strong Python skills and hands-on experience with AI/ML frameworks (PyTorch, scikit-learn).
• Solid MLOps foundation: CI/CD for ML, model versioning, experiment tracking, drift detection, production monitoring.
• Experience designing inference systems with explicit latency/throughput targets on edge hardware; ability to trade off model complexity, cost and performance.
• Experience with AWS is a plus.

Mansioni

• Turn real-world data into trainable inputs and select the modeling approach based on cost and latency.
• Improve the physical AI inference pipeline balancing performance, latency, and accuracy.
• Partner with teams to engage customers and deploy field-ready solutions.
• Mentor teammates and raise the ML capability across Latent AI as it matures.

Conoscenze

Python

PyTorch

Computer Vision

ML Engineering

MLOps

Edge AI

AWS

Deployment pipelines

Strumenti

CI/CD for ML

Model versioning

Experiment tracking

Drift detection

Production monitoring

Kubernetes

Descrizione del lavoro

Latent AI is hiring an ML engineer to build and productionize perception and autonomous ML systems for edge devices. You will transform messy data into learnable signals and choose efficient models to meet latency and cost targets.

You will own training pipelines, inference serving, evaluation tooling, and monitoring from scratch, collaborating with customers to deliver deployable field solutions. The role emphasizes hands-on practice with Python, PyTorch, and MLOps in a startup-friendly