CORE AI Engineer

Core Ai Engineer

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.

CORE studio R&D team manages our research and development efforts, from efficiency improvements to solving some of the most challenging engineering problems of our time. We believe collaboration amplifies our innovation potential and creates connections that lead to better, more imaginative solutions for our clients.

The Role

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.

Responsibilities

Use statistical inference (Bayesian and Markov Chain Monte Carlo methods) for probabilistic design of 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 designing space exploration and sensitivity analysis.

Requirements

Experience with techniques like regression, clustering, and optimization 1+ years of experience in a related position Excellent communication skills Programming experience with Python BS and/or MS degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related fieldProficient knowledge of machine learning/Python and data mining algorithms Experience with Finite Element Analysis (Strand7, RAM, SAP200, etc.) is a plus Understands Design Thinking A problem solver and critical thinker. Rapid Prototyping Able to Debug/Troubleshoot

Compensation

The rate for this position generally is $80,000 - $95,000 annually. This range is a good faith estimate provided pursuant to the New York Pay Transparency Law. It is based on what a successful New York applicant might be paid and assumes that the successful candidate will be in New York or perform the position from New York. Similar positions located outside of New York will not necessarily receive the same compensation. Actual pay rates may vary from the range, as permitted by New York Equal Pay Transparency Law. Compensation offers will be based on various factors, including operational needs, individual education, qualifications and experience, work location and comparison to employee already in the role, as well as other considerations permitted by law. A potential new employee's pay history will not be used in compensation decisions.

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