Senior ML Operations Engineer

Posted 3 Days Ago
Be an Early Applicant
Wilmington, MA, USA
Hybrid
120K-165K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Automation
Reinvent the Warehouse & Reimagine the Supply Chain®
The Role
Productionize machine learning systems for large-scale robotic fleets, including deployment infrastructure, predictive robot health monitoring, data pipelines, model validation, telemetry analysis, and fleet-wide rollouts. Collaborate with researchers and cross-functional engineering teams to deploy computer vision and ML models using cloud, edge, and GPU-accelerated platforms. Build simulation environments, dashboards, observability solutions, and scalable CI/CD processes while contributing hands-on Python development.
Summary Generated by Built In

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 Operations 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 4 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.

#LI-Hybrid

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 $120,000.00 - $165,000.00 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.

Skills Required

  • Minimum 4 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 a related field
  • 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

Symbotic Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Symbotic and has not been reviewed or approved by Symbotic.

  • Healthcare Strength Benefits include comprehensive medical, dental, and vision from day one, alongside wellness, mental health, and specialized coverages such as pet and transgender health care. Feedback suggests the breadth and immediacy of coverage are valued.
  • Retirement Support A 401(k) with company matching, profit sharing, and automatic enrollment are consistently emphasized as part of the package. Feedback suggests these components are seen as competitive pillars of total rewards.
  • Leave & Time Off Breadth Flexible/unlimited PTO with paid holidays and sick time is offered, managed directly between employees and leaders. Feedback suggests this structure provides meaningful scheduling flexibility.

Symbotic Insights

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The Company
HQ: Wilmington, MA
3,500 Employees
Year Founded: 2007

What We Do

The Symbotic story began in 2007 with a bold vision: to solve real-world challenges in the supply chain. Since then, we have combined deep expertise in warehouse operations with breakthrough technology to transform how goods are moved. Today, Symbotic delivers fully automated, end-to-end supply chain solutions for some of the world’s largest retailers and wholesalers. Our systems integrate advanced robotics and A.I. to address the complexity of modern distribution, helping customers achieve new levels of efficiency, speed, and flexibility. At Symbotic, we value curiosity, collaboration, and continuous improvement, empowering employees to make meaningful contributions from day one. Whether you’re designing next-generation technology, supporting operational excellence, or driving innovation behind the scenes, you’ll play a key role in shaping the future of automation and supply chain transformation at scale. If you’re looking for rewarding challenges, determined teammates, and the opportunity to make a tangible impact, Symbotic is where you belong.

Why Work With Us

What makes Symbotic unique is our people. We bring together curious thinkers, problem-solvers, and innovators who are passionate about transforming the future of supply chain automation. As we scale, we remain committed to supporting a culture rooted in creativity, teamwork, and meaningful impact.

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