Associate AI/ML Engineer

Thornton Tomasetti • New York, NY

2d • $100,000 - $115,000

About The Position

Thornton Tomasetti applies engineering and scientific principles to solve the world’s 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. Thornton Tomasetti is seeking a Civil/Structural Engineer with a Data Science background to contribute to CORE.AI, a dedicated research and development team focusing on Artificial Intelligence and Machine Learning (AI/ML) projects. You’ll be a key part of the team supporting the Director CORE.AI and CORE, the software development, R&D, and advanced computational modeling studio at Thornton Tomasetti. The goal of the role will be to drive AI/ML tools and processes that will provide both insight and production value to Thornton Tomasetti practices and technical staff. You’ll need to be highly motivated and have demonstrated experience in analyzing and creating data sets to enable AI/ML model creation that can be utilized in production applications. You will work in a collaborative environment as you support, build, and maintain applications for the broader staff.

Requirements

• BS and/or MS degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
• Excellent communication skills
• Programming experience with Python
• Proficient knowledge of machine learning and data mining algorithms

Nice To Haves

• Expertise in Finite Element Analysis (Strand7, RAM, SAP200, etc.) a plus

Responsibilities

• Use statistical inference (Bayesian and Markov Chain Monte Carlo methods) for probabilistic design space exploration.
• Prepare data visualizations to illustrate and explain analytical results.
• Use finite element analysis, and other numerical methods to analyze and design code-compliant structural components and systems for data set preparation.
• Use constrained multi-objective optimization, and other computational methods for design space exploration and sensitivity analysis.
• Utilize techniques like regression, clustering, and optimization.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree