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Engineering Intern – Gen AI for FP&A Platform - Remote

Posted 5 days ago
All others
Internship
USA

Overview

Drivetrain is on a mission to empower businesses to make better decisions through its financial planning & decision-making platform.

In Short

  • Remote-first company with a great culture for employee growth.
  • Seeking motivated Computer Science engineering interns passionate about Generative AI.
  • Work on real-world projects involving RAG, Agentic AI, and LLMs.
  • Key responsibilities include developing Gen AI solutions, collaborating with teams, and optimizing algorithms.
  • Document and present work clearly to the team.
  • Qualifications include a degree in Computer Science or a related field.
  • Strong understanding of DSA, system design, and AI/ML concepts preferred.
  • Mentorship and flexibility in work options are provided.
  • Encouragement to apply for candidates with a strong project portfolio.
  • Opportunity to shape the future of intelligent FP&A.

Requirements

  • Currently pursuing or recently completed a degree in Computer Science or related field.
  • Strong understanding of Data Structures and Algorithms.
  • Familiarity with Generative AI concepts.
  • Demonstrated ability to build end-to-end projects.
  • Excellent communication skills.

Benefits

  • Work on cutting-edge Gen AI projects.
  • Learn from industry experts.
  • Mentorship opportunities.
  • Flexible remote or hybrid work options.
Drivetrain logo

Drivetrain

Drivetrain is a remote-first company based in the San Francisco Bay Area, founded in 2021 by former Google employees. The company is dedicated to empowering businesses through its financial planning and decision-making platform, enabling them to scale and achieve their targets predictably. With a strong culture that promotes autonomy, transparency, and customer-centricity, Drivetrain fosters an environment where employees can thrive, explore new ideas, and contribute to positive change. Backed by leading venture capital firms, Drivetrain is on a fast growth trajectory, focusing on product-led growth and continuous learning from its customers.

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