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AI Intern (Boston, MA)

Suffolk Construction
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About Suffolk:

Suffolk is a national enterprise that builds, innovates and invests. Suffolk is an end-to-end business that provides value throughout the entire project lifecycle by leveraging its core construction management services with vertical service lines that include real estate capital investment, design, self-perform construction services, technology start-up investment (Suffolk Technologies) and innovation research/development.

Suffolk – America’s Contractor – is a national company with more than $5.0 billion in annual revenue, 2,600 employees, and main offices in Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, and San Diego. Suffolk manages some of the most complex, sophisticated projects in the country, serving clients in every major industry sector, including healthcare, life sciences, education, gaming, transportation/aviation, government, mission critical and commercial. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of “Top CM-at-Risk Contractors.” For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram. At Suffolk, we are pioneering cutting-edge AI for the Design and Construction world. AI at Suffolk aims to seamlessly integrate various phases of the building process, from design to construction, into a cohesive and unified platform. As an AI Intern, you will have the unique opportunity to contribute to developing AI solutions, models, and algorithms leveraging Generative AI and Machine Learning.

What We Offer:

  • The opportunity to be part of an innovative team that is leading the way in Design and Construction innovation.
  • A dynamic environment where you can leverage and enhance your skills while learning new ones.
  • Exposure to the cutting-edge Generative AI and Machine Learning applications.

Data Collection and Preprocessing:

  • Gather and preprocess large datasets from various sources.
  • Clean and transform data to ensure it is suitable for analysis and model training.
  • Perform exploratory data analysis to identify patterns, trends, and insights.

Research and Experimentation:

  • Conduct research on state-of-the-art techniques and technologies.
  • Assist in development of new methodologies and innovative solutions.
  • Experiment with different approaches to solve complex problems in AI in Construction.
  • Test and validate prototypes in real-world scenarios to assess their performance.

Model Development and Implementation:

  • Assist in developing and training generative AI models and machine learning algorithms.
  • Implement machine learning and deep learning algorithms using programming languages like Python or R.
  • Fine-tune pre-trained models to improve performance for specific tasks.
  • Evaluate model performance using various metrics and techniques.

Qualifications:

  • Currently enrolled in an undergraduate or graduate program in Computer Science, Data Science, Mathematics of Physics.
  • Very strong Python/R programming skills.
  • Knowledge of Machine Learning and Generative AI, including Retrieval-Augmented Generation (RAG) techniques and their applications.
  • Familiarity with Azure Machine Learning (AzureML) and Databricks Analytics Platform is a plus.
  • A proactive attitude and eagerness to learn and apply new skills at the intersection of building Construction and AI

Working Conditions:

While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.

EEO Conditions:

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law.  This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment.  Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.