Senior ML Engineer - Robotics & MLOps (Edge/Deployment)

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

Benefits offered by this job

Hybrid work model

Travel opportunities

Job summary

Symbotic is seeking a Senior ML Engineer with strong fundamentals and hands-on software engineering to productionize ML systems for autonomous robotics. You will build deployment pipelines, monitor robot health, and collaborate with researchers to bring new models into production environments.

You will implement predictive health monitoring, data pipelines for curation and training, and dashboards for KPI reporting.

Qualifications

• Minimum 5 years of related experience.
• Strong hands-on Python development skills.
• Experience building machine learning models from scratch.
• Experience with PyTorch and/or TensorFlow.
• Experience with predictive modeling and time-series analysis.
• Strong understanding of machine learning deployment and operationalization.
• Experience with Kubernetes, Docker, Git, Jenkins, and CI/CD environments.
• Experience with SQL and large-scale data systems.
• Experience working with telemetry, sensors, or operational data.
• Experience building monitoring solutions, observability platforms, or analytics dashboards.
• Demonstrated cloud experience with Azure and/or GCP.
• Strong collaboration skills in cross-functional engineering environments.

Responsibilities

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

Skills

Python

PyTorch

TensorFlow

Kubernetes

Docker

CI/CD

SQL

Time-series

Telemetry

Cloud (Azure/GCP)

Collaboration

Education

Bachelor's degree in Computer Science

Bachelor's degree in Robotics

Tools

ONNX

TensorRT

Jenkins

Git

Job description

Symbotic is seeking a Senior ML Engineer with strong fundamentals and hands-on software engineering to productionize ML systems for autonomous robotics. You will build deployment pipelines, monitor robot health, and collaborate with researchers to bring new models into production environments.

You will implement predictive health monitoring, data pipelines for curation and training, and dashboards for KPI reporting.