Senior Machine Learning Engineer

Symbotic; Wilmington (MA); Presencial; USD 116.000 - 171.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Conocimientos

Python development

PyTorch

TensorFlow

ML deployment

Time-series analysis

Kubernetes

Docker

Git

CI/CD pipelines

SQL

Telemetry data

Collaboration

Educación

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

Herramientas

Kubernetes

Docker

Git

Jenkins

CI/CD

Descripción del empleo

Who We Are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.

What We Need

We are seeking a Senior ML Engineer with strong machine learning fundamentals and hands-on software engineering experience. This individual will help productionize ML systems, improve robot health monitoring capabilities, build scalable deployment pipelines, and collaborate with ML researchers to bring new models into production robot environments. The ideal candidate combines machine learning expertise with MLOps, distributed systems, and robotics experience.

What You'll Do

• 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.

What You'll Need

• 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.

Preferred Qualifications

• Robotics experience.
• Signal processing experience.
• Edge AI and embedded systems experience.
• Computer vision experience.
• Experience deploying models to GPU-accelerated environments.
• Experience with simulation environments or digital twins.
• Experience supporting ML systems running in production at scale.

Our environment

• Up to 10% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.
• The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

The base range for this position in the posted location is $116,250.00 - $170,500.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.