Machine Learning Intern

Job Description - Full- time Machine Learning Intern (3 months) - 40 hrs/week

Tracera (ESG Flo) is in search of a passionate Machine Learning intern. This ML intern will work closely with our Product & Engineering team to work on ML research focused on enabling the making Environmental, Social, and Governance data collection and reporting easy, efficient, and enjoyable. We help sustainability teams focus on driving meaningful impact in Environmental, Social, and Governance domains rather than getting bogged down with reporting tasks.

How did ESG Flo come about?

Tracera (ESG Flo) emerged from Bain & Company's Venture Incubator, where advisors consistently observed their clients struggling with sustainability compliance and data collection. Our software optimizes data extraction, validation, and transformation, to make ESG reporting seamless. We were founded in 2022 and are headquartered in New York City, receiving seed round funding from Bain & Company and other top VCs.

What You’ll Do:

• 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.
• 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 solution into the product.
• Stay updated with the latest advancements in machine learning and related fields to incorporate cutting-edge techniques into your research.

Key Responsibilities & Duties:

• Conduct research and development to explore different ML models for the use case.
• Apply concepts from machine learning to problems in computer vision, natural language processing, recommendation systems, and more.
• Collaborate with the engineering team to deploy scalable solutions on the platform.
• Stay up to date with the latest research trends, technologies, papers, and publications in and across various machine learning disciplines.
• Communicate research methodology, findings, and recommendations to the engineering team and stakeholders.

Ideal Candidate Profile:

• Research or relevant course work in Machine Learning (required).
• 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).
• Proficiency in Python (required) and associated machine learning tools and libraries (required).
• Practical experience with transformer models (e.g., BERT, GPT, T5) and an understanding of attention mechanisms, transfer learning, and fine-tuning (required).
• Hands-on experience with Retrieval-Augmented Generation (RAG) techniques.
• Experience with deploying Machine Learning tools and services on AWS.
• Demonstrated ability to apply language models to diverse downstream tasks in real-world applications.
• Strong understanding of mathematical foundations, information theory, statistical analysis, machine learning fundamentals and relevant algorithms.
• 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.

As a Machine Learning Intern at ESG Flo, you will have the opportunity to work on a platform that addresses critical sustainability challenges faced by companies worldwide. Your contributions will directly impact the efficiency and effectiveness of ESG data collection and reporting, allowing businesses to make more informed and sustainable decisions. The role offers the potential to become a full-time ML Engineer, making it an exciting opportunity for those passionate about environmental sustainability and cutting-edge web development.