Senior AI/ML Engineer at Thornton Tomasetti | NY, US | Rezi

Senior AI/ML Engineer at Thornton Tomasetti

Senior AI/ML Engineer

Thornton Tomasetti · NY, US

Yesterday

Senior AI/ML Engineer

Thornton Tomasetti · NY, US

2 days ago
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About 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 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.

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

Skills

  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Python
  • Statistical inference
  • Bayesian methods
  • Markov Chain Monte Carlo methods
  • Data visualization
  • Finite element analysis
  • Constrained multi-objective optimization
  • Regression
  • Clustering
  • Optimization

Location

  • New York

Work Type

  • Full-time

Education Level

  • BS
  • MS

Salary/Compensations

  • $95,000 - $125,000 annually

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
  • Various wellness, diversity/inclusion and employee resource programs and initiatives

About the Company

  • 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.

Equal Opportunity

  • 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.