Senior AI/ML Engineer - CORE

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.

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.

 

Requirements:

• 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

 

Qualifications:

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

Compensation

The rate for this position generally is $84,000 - $94,500 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

 

Pursuant to the San Francisco 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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