AI & Computer Vision Intern

Thornton Tomasetti applies engineering and scientific principles to solve the worlds challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide our mission is to bring our clients ideas to life and in the process lay the groundwork for a better more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career.

Our Forensics team works on a wide range of projects involving the built environment using engineering analysis data and technology to help clients understand conditions evaluate performance and make informed decisions. As we expand our use of AI and computer vision we are developing and maintaining datasets and tools that help analyze images and 3D data from structures and this role will directly support those efforts.

The Role:

We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice.

Responsibilities:

• Support the AI/ML team in labeling and curating datasets for computer vision models including classification object detection instance segmentation and semantic segmentation.

• Work with 2D image datasets (e.g. photos drone imagery plan drawings) to draw and review labels for objects and damage types.

• Work with 3D point cloud models (e.g. structural frames industrial facilities) to segment and label structural components and other features in 3D space.

• Assist in developing and refining labeling guidelines class definitions and attribute schemas to improve consistency and model performance.

• Perform quality assurance (QA/QC) on existing labels identify labeling errors or ambiguities and suggest corrections and improvements.

• Help the engineering team prepare example datasets figures and visualizations for internal presentations reports and publications related to AI model development.

• Assist in basic data preprocessing and organization (e.g. dataset splitting file naming simple scripting) to support experimentation and model training workflows.

• Collaborate with forensic engineers to understand model objectives and failure modes and adjust labeling strategies accordingly (e.g. edge cases hard negatives).

Requirments:

• Computer vision and AI: basic understanding of common model types (e.g. CNNs UNet Faster RCNN YOLO) and tasks (classification detection segmentation).

• Programming and data tools: Python and/or MATLAB for simple data manipulation visualization and experiment tracking.

• Point cloud software: CloudCompare or other point cloud viewing and manipulation software for slicing filtering and annotating 3D datasets.

• Labeling platforms: experience with image or point cloud annotation tools (e.g. Supervisely CVAT Labelbox or similar).

• A strong interest in applying AI and computer vision to structural and forensic engineering problems is essential.

Compensation

Benefits

Depending on your employment status benefits may include:

• Medical Dental Vision Life AD&D Disability and other voluntary benefits

• Flexible Spending Accounts for Medical and Childcare

• Paid Time Off Family Leave for New Parents Volunteer Time

• Tuition Reimbursement

• Commuter Transit (where available)

• 401k retirement savings with Company matching on employee contributions and/or qualified student loan repayments

• Fitness Reimbursement

• And other various wellness diversity/inclusion and employee resource programs and initiatives

Pursuant to the SanFrancisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Thornton Tomasetti is proud to be an equal employment workplace. Individuals seeking employment at Thornton Tomasetti are considered without regards to age ancestry color gender (including pregnancy childbirth or related medical conditions) gender identity or expression genetic information marital status medical condition mental or physical disability national origin protected family care or medical leave status race religion (including beliefs and practices or the absence thereof) sexual orientation military or veteran status or any other characteristic protected by federal state or local laws.

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