Senior Manager, Machine Learning Operations (Perception)

About the role

Symbotic is seeking a Senior Manager, Machine Learning Operations (ML Ops) within the Perception team. This role leads the development, scaling, and reliability of the ML lifecycle supporting robotic perception systems.

Responsibilities

• Drives the development and scaling of ML Ops infrastructure, including data pipelines, model training and validation workflows, deployment systems, and monitoring frameworks.
• Captures cross-functional efforts with perception, controls, and platform teams to ensure seamless integration of ML models into production robotic systems.
• Leads end-to-end ML lifecycle processes, including dataset management, model versioning, release processes, and production validation across distributed fleets.
• Manages and mentors a team of ML and data engineers, fostering a high-performing, collaborative, and execution-focused team environment.
• Ensures high-quality, reliable delivery of ML-enabled functionality by establishing best practices in reproducibility, observability, and operational excellence.
• Drives continuous improvement of monitoring systems, including software and hardware telemetry, to support system performance, diagnostics, and maintenance operations.

Requirements

• Requires a Bachelor’s Degree in Computer Science, Computer Engineering, Robotics, or a related field; Master’s Degree preferred or equivalent work experience.
• Minimum of 10+ years of experience in software engineering, machine learning systems, or infrastructure development.
• Minimum of 3+ years of experience managing or leading engineering teams in ML, data, or infrastructure domains.
• Strongly preferred{{:}} Experience building and scaling ML Ops platforms, including data pipelines, model deployment systems, and monitoring and observability tools.
• Required technical skills{{:}} Proficiency in Python and/or C++; experience with distributed systems and cloud platforms (e.g., GCP), containerization (Kubernetes), and data/streaming technologies (Kafka, Snowflake).
• Experience with analytics and visualization tools (e.g., Tableau) is preferred.

Competencies

• Strong cross-functional leadership, execution focus, communication skills, and the ability to drive process maturity in complex, fast-paced engineering environments.

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.

What We Do

The Perception team is part of the Software Engineering organization which builds and delivers the intelligent robotic software platform that powers Symbotic’s automation systems. The team develops and operates perception and machine learning systems that enable robots to understand and interact with complex warehouse environments, supporting safe, efficient, and scalable operations across customer sites.

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.

Pay

The base range for this position in the posted location is $180,000.00 - $247,500.00 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.