Intern- Machine Learning Ops
- Compensation
- Not disclosed
- Location
- USA Wilmington, MA - HQ
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- · Pursuing PhD or Master's Degree in related field
- · Coursework or project experience in computer science, software engineering, robotics engineering, machine learning, or a related technical discipline.
- · Proficiency in Python or C++ and the ability to deliver high-quality, working code.
- · Experience with cloud-based infrastructure or services, including Google Cloud Platform (GCP) or Microsoft Azure.
- · Experience working with complex data systems, including data storage, telemetry, camera, or sensor data.
- · Familiarity with machine learning deployment technologies such as ONNX, TensorRT, Docker, or edge computing platforms.
- · Strong collaboration and problem-solving skills for work across machine learning, software, hardware, perception, and operations teams.
- 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 locations and company HQ.
- · Employees may be required to use a personal credit card for business travel expenses, which are reimbursed based on the program guidelines. Eligible employees may receive a corporate credit card bas
- 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 wo
- 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
- 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 expre
Full description
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.
Term: Summer (May-Aug)
At Symbotic, early career talent plays a meaningful role in helping us reimagine the future of supply chain automation. Through our Internship and Co-op programs, students have the opportunity to contribute to real projects, collaborate with experienced engineers and business leaders, and gain hands-on exposure to the technologies powering our end-to-end robotics and automation solutions. We are looking for curious, motivated students who are excited to solve complex problems, bring new perspectives to cross-functional teams, and see their work make an impact in a fast-moving, innovative environment.
Along the way, Interns and Co-ops are supported through mentorship, professional development, networking opportunities, and a robust calendar of events designed to help them build community and grow their careers. Symbotic offers transportation and housing benefits for students who meet our relocation requirements.
Continue reading below to learn more about this exciting opportunity!
What we need
Symbotic is seeking for an Intern- Machine Learning Ops to join our ML Operations team within our Software organization. Your job will be to help build, scale, and deploy machine learning systems that improve the health, reliability, and performance of our autonomous robot fleet.
What we do
The ML Operations team takes machine learning and perception technologies from research environments into reliable production use across Symbotic's autonomous warehouse robots. The team partners with machine learning research, software, hardware, perception, and operations groups to scale predictive monitoring, computer vision, deployment infrastructure, and robotic health monitoring capabilities.
What you'll do
· Architect and scale software platforms that support current and future autonomous capabilities.
· Collaborate with machine learning research and development teams to ensure new models meet production deployment requirements.
· Optimize robotic fleet deployment pipelines from merge requests through testing and rollout using ONNX, TensorRT, and custom hardware.
· Maintain and improve edge computing infrastructure to support real-time performance and reliability.
· Build machine learning pipelines for dataset curation, labeling, training, validation, and evaluation metrics.