Intern- Machine Learning at Symbotic

Wilmington, Massachusetts, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Robotics, Supply Chain, Warehouse AutomationIndustries

Requirements

Currently pursuing PhD or Masters degree in Computer Science or other related discipline
Strong programming skills in Python and/or C++ (Python is preferred)
Experience with ML frameworks such as PyTorch and/or Tensorflow (PyTorch is preferred)
Experience with image processing such as OpenCV
Enjoys learning new technologies, skills, and techniques as well as teaching them to others

Responsibilities

Research and experiment with traditional computer vision methods and deep learning methods for object detection, classification, segmentation, pose estimation, anomaly detection on images or videos
Evaluate and benchmark computer vision methods on production data
Deploy software to production on robot hardware
Design data pre and post processing methods
Document designs, code, experiments, evaluations
Identify high-impact scenarios where AI Planning and machine learning can be applied to optimize the Symbotic robotics software
Adapt state-of-the-art approaches or develop high-performance algorithms to solve real-world multi-robot problems
Conduct simulations and experiments to validate the performance of the multi-robot algorithms
Present results in verbal and written communications internally, and in top-tier academic venues

Skills

Machine Learning

Computer Vision

Perception

Routing Algorithms

Multi-Agent Systems

Vision-Based Algorithms

Dataset Design

Training Pipelines

Software Deployment

Production Standards

Symbotic

Develops robotics and software for supply chains

About Symbotic

Symbotic develops robotics and software aimed at improving supply chain operations. Their products include both hardware and software that work together to automate various processes within warehouses and distribution centers. This automation helps manufacturers, distributors, and retailers streamline their operations, making them faster and more efficient. Unlike many competitors, Symbotic focuses on creating a comprehensive solution that integrates seamlessly into existing supply chains, providing not just the technology but also ongoing support and maintenance. The goal of Symbotic is to enhance the profitability of their clients by optimizing supply chain performance through advanced automation.

Wilmington, DelawareHeadquarters

2007Year Founded

$607.5MTotal Funding

IPOCompany Stage

Robotics & Automation, Industrial & Manufacturing, Enterprise SoftwareIndustries

1,001-5,000Employees

Risks

Financial restatement and class action lawsuit may harm investor confidence and stability.

Integration challenges from OhmniLabs acquisition could divert focus from core operations.

Expansion in Georgia may face delays or cost overruns, impacting profitability.

Differentiation

Symbotic integrates proprietary robotics and software for advanced supply chain automation.

The company focuses on making supply chains faster, more efficient, and profitable.

Symbotic's acquisition of OhmniLabs expands its capabilities beyond traditional warehouse settings.

Upsides

Increased demand for warehouse automation due to e-commerce growth boosts Symbotic's market potential.

AI-driven robotics interest from major companies like Amazon enhances Symbotic's industry relevance.

Symbotic's expansion in Georgia creates 300 jobs, strengthening its operational capacity.

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