Edge ML Researcher - CV/AR for Real-Time Vision

Rivet Industries; Bellevue (WA); On-site; USD 150,000 - 290,000; Full time

Benefits offered by this job

Unlimited PTO

Job summary

Rivet is seeking a talented ML Researcher / Research Engineer to advance computer vision and sensor fusion capabilities. You will develop and validate ML ideas on embedded hardware, and deploy models to edge devices, including imaging, pose estimation, and real-time optimization.

The role requires strong Python and deep learning framework skills, experience in production ML pipelines, and a drive to publish or contribute to state-of-the-art research while delivering practical prototypes for our

Qualifications

• BS with 5+ years of academic or industry ML research or applied ML engineering with shipped or published work (or MS with 2+ years)
• Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow)
• Experience with ML pipeline development, model deployment, and production monitoring
• Knowledge of quantization, pruning, and edge deployment techniques

Responsibilities

• Implement POCs in Python/C++ to validate ML ideas on embedded hardware
• Conduct research in imaging and video processing pipelines for AR/VR applications
• Document learnings and define clear pathways from prototype to production
• Research and implement model optimization techniques for edge deployment
• Stay current with latest developments in computer vision and machine learning literature
• Prototype novel algorithms and validate performance through experimentation
• Design and implement end-to-end machine learning pipelines using PyTorch and TensorFlow Lite
• Optimize models for real-time performance on mobile and embedded platforms
• Implement MLOps best practices for model versioning, monitoring, and CI
• Create scalable data preprocessing and augmentation pipelines

Skills

Python

PyTorch

TensorFlow

ML pipelines

Model deployment

Production monitoring

Edge deployment

Quantization

Pruning

Docker

Kubernetes

Education

Bachelor's degree (B.S.) in CS or related field

Master's degree (M.S.) in CS or related field

PhD (preferred) in CV/ML or related field

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Rivet is seeking a talented ML Researcher / Research Engineer to advance computer vision and sensor fusion capabilities. You will develop and validate ML ideas on embedded hardware, and deploy models to edge devices, including imaging, pose estimation, and real-time optimization.

The role requires strong Python and deep learning framework skills, experience in production ML pipelines, and a drive to publish or contribute to state-of-the-art research while delivering practical prototypes for our