Senior ML Ops Engineer - Robotics & Edge AI

Symbotic LLC; Wilmington (MA); Hybrid; USD 120,000 - 165,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Disability

401K

PTO and/or other benefits

Job summary

Symbotic LLC is seeking a Senior ML Operations Engineer to productionize ML systems and enhance robot health monitoring. You will build scalable deployment pipelines and collaborate with ML researchers to bring new models into production environments.

The role demands strong Python, ML fundamentals, and hands-on software engineering, with experience in PyTorch/TensorFlow, MLOps, Kubernetes, Docker, and CI/CD. Hybrid work options and travel may be required.

Qualifications

• Minimum 4 years of related experience in ML operations or MLOps.
• Strong hands-on Python development and software engineering experience.
• Experience building ML models from scratch with PyTorch and/or TensorFlow.
• Experience with predictive modeling and time-series analysis.
• Strong understanding of ML deployment and operationalization in production.
• Experience with Kubernetes, Docker, Git, Jenkins, and CI/CD environments.
• Experience with SQL and large-scale data systems.
• Experience with telemetry, sensors, or operational data.
• Experience building monitoring solutions and analytics dashboards.
• Demonstrated cloud experience with Azure and/or GCP.
• Strong collaboration skills in cross-functional engineering environments.
• Bachelor's degree in computer science, Robotics, Software Engineering, Machine Learning, or related fields.

Responsibilities

• Build and optimize ML deployment infrastructure for large-scale robotic fleets.
• Collaborate with ML researchers to move models from prototyping to production.
• Design predictive health monitoring for autonomous robotic assets.
• Create monitoring, telemetry analysis, dashboards, and KPI reporting systems.
• Develop data pipelines for dataset curation, labeling, training, validation, and evaluation.
• Deploy and optimize ML models using ONNX, TensorRT, Docker, and edge platforms.
• Improve model rollout, validation, and fleet-wide deployment processes.
• Develop simulation and validation environments to accelerate testing and releases.
• Work with software, hardware, computer vision, and operations teams to improve reliability.
• Support computer vision applications including detection, classification, dimension estimation, and robotic decision-making systems.
• Contribute hands-on Python development and machine learning model architecture design.

Skills

Python

ML fundamentals

Software engineering

PyTorch

TensorFlow

predictive modeling

time-series analysis

Kubernetes

Docker

Git

Jenkins

CI/CD

SQL

Telemetry data

Education

Bachelor's degree in Computer Science

Tools

ONNX

TensorRT

Docker

Job description

Symbotic LLC is seeking a Senior ML Operations Engineer to productionize ML systems and enhance robot health monitoring. You will build scalable deployment pipelines and collaborate with ML researchers to bring new models into production environments.

The role demands strong Python, ML fundamentals, and hands-on software engineering, with experience in PyTorch/TensorFlow, MLOps, Kubernetes, Docker, and CI/CD. Hybrid work options and travel may be required.