Senior ML Engineer - Production ML & Robotics

Symbotic; Wilmington (MA); Presencial; USD 116 000 - 171 000; Tempo integral

Resumo da oferta

Symbotic seeks a Senior ML Engineer to productionize ML systems for autonomous robotic assets. You will build deployment pipelines, improve health monitoring, and collaborate with ML researchers to bring models into production environments.

The role requires hands-on Python, PyTorch or TensorFlow experience, and strong MLOps, Kubernetes, and edge computing skills. You will work across software, hardware, CV, and operations teams to boost robot reliability.

Qualificações

• Minimum of 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.
• Bachelor's degree in Computer Science, Robotics, Software Engineering, Machine Learning, or related fields.

Responsabilidades

• Build and improve machine learning 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 machine learning model architecture design.

Conhecimentos

Python development

PyTorch

TensorFlow

ML deployment

Time-series analysis

Kubernetes

Docker

Git

CI/CD pipelines

SQL

Telemetry data

Collaboration

Formação académica

Bachelor's degree in Computer Science, Robotics, Software Engineering, Machine Learning, or related fields

Ferramentas

Kubernetes

Docker

Git

Jenkins

CI/CD

Descrição da oferta de emprego

Symbotic seeks a Senior ML Engineer to productionize ML systems for autonomous robotic assets. You will build deployment pipelines, improve health monitoring, and collaborate with ML researchers to bring models into production environments.

The role requires hands-on Python, PyTorch or TensorFlow experience, and strong MLOps, Kubernetes, and edge computing skills. You will work across software, hardware, CV, and operations teams to boost robot reliability.