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Machine Learning Engineer Intern

Tracera

From $4,500
Sep 16, 2025
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Tracera is looking to solve the problem of making Sustainability (Environmental, Social, and Governance) data collection and reporting easy, efficient, and enjoyable for sustainability teams.

Requirements

  • Research or relevant coursework in Machine Learning (required)
  • Proficiency in Python (required) and associated machine learning tools and libraries (required).
  • Practical, hands-on experience with transformer models (e.g., BERT, GPT, et) and an understanding of attention mechanisms, transfer learning, and fine-tuning (required).
  • Experience fine-tuning Hugging Face models (required)
  • Hands-on experience with Retrieval-Augmented Generation (RAG) techniques.
  • Experience with large scale clustering algorithms
  • Bonus: Experience deploying Machine Learning tools and services on AWS.

Responsibilities

  • Utilize your major in computer science specifically in machine learning to work on ongoing experimental initiatives, these include
  • Pattern recognition and extraction from unstructured data, including pdf documents, tabular data, strategy decks, and images.
  • Model design, fine‑tuning, clustering, evaluation, active‑learning loop
  • Training ML models with internal policy document to tag and surface relevant data
  • Researching and improving vector embedding models
  • Collaborate with the product and engineering teams to come up with a roadmap to implementation of solutions into the product.
  • Stay updated with the latest advancements in machine learning and related fields to incorporate cutting-edge techniques into your research.

Other

  • Strong academic background with a degree (ideally working towards your master's or Ph.D.) in a related field, such as computer science, machine learning, artificial intelligence, or a related discipline (required)
  • Demonstrated ability to work autonomously and in a fast-paced environment.
  • Excellent problem-solving skills and ability to think analytically.
  • Strong communication skills to effectively convey complex concepts to technical and non-technical stakeholders.
  • In-person work in NY/NJ required