Senior Software Engineer - ML Operations

Overview

Symbotic is an AI-powered robotic technology platform changing how consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system.

What We Need

Symbotic is looking for a talented Senior ML Ops Engineer to join our Perception team. You will assist in the development of deep learning perception models that will help our fleet of autonomous robots to accomplish their missions safely, accurately, and with super-human efficiency. You will play a hands-on role in scaling new and existing algorithms to limit downtime and increase efficiency of our automated system. Expect to develop solutions based on the latest ML tools and industry thinking and allow us to automate the development, testing and deployment of ML models and tools that will process data from various sensors.

What You’ll Do

• Implement and maintain state-of-the-art real-time perception solutions using Python, C++, Docker, and other modern tools.
• Build high quality software in a dynamic fast-paced environment.
• Understand business objectives and develop models that help to achieve them, along with metrics to track their progress.
• Build in-cloud infrastructure to process and gain insights into large datasets and machine learning models performance.
• Explore and visualize data to gain an understanding of it, then work with developers to curate and control training and testing data.
• Design and build dashboards and metrics to monitor perception solutions.
• Deploy models using state of the art ML infrastructure and quickly analyze and refine model output.
• Collaborate with the Perception team and with other teams to drive best practices and improve quality standards.
• Write requirements and documentation for peers and for leadership to drive implementation and establish short- and long-term development and gains.

What You’ll Need

• Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, or related field.
• Minimum of 6 years of professional experience developing software applications and deploying on AWS/GCP/Azure.
• Strong CI/CD, Docker, Kubernetes and IaC tools (Terraform, CloudFormation, Helm).
• Experience with relational and non-relational databases, data warehousing, and data streaming frameworks.
• Knowledge of security concepts (firewalls, encryption, VIPs).
• Experience deploying and monitoring ML models at scale.
• Collaborative, flexible thinking and good humor.
• Solid software engineering skills with expertise in at least one programming language and its stack.
• Ability to design modern perception of hardware and software stack for a complex robotics system.
• Experience implementing portable containerized solutions in cloud and edge environments.
• Experience with ML cloud computing tools (WandB, TFX, TensorBoard, KFP, etc.).
• Leadership experience: own a perception sub-system.

Our environment

• Up to 10% travel may be required. Valid driver’s license and ability to travel to client locations.
• Expense management and reimbursement process.

The base range for this position is $149,000 - $204,600; base pay offered may vary by experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and other benefits.

We are an equal opportunity employer and do not discriminate based on race, color, ethnicity, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, or genetic information.