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Sr. Software Engineer

Keystone AI

$133,000 - $175,000
Oct 2, 2025
Boston, MA, US • New York, NY, US • San Francisco, CA, US • Seattle, WA, US
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Keystone is looking to solve the most complex challenges of competition, strategy, and intellectual property for leading technology firms and global brands by leveraging the intersection of economics, technology, and business strategy.

Requirements

  • 4-6 years of relevant professional experience in Machine Learning, NLP, or software development focused on AI systems
  • Experience in designing, finetuning, evaluating, and deploying state-of-the-art AI models, including LLMs, for real-world applications
  • Deep understanding of advanced techniques like reinforcement learning, retrieval-augmented generation (RAG), and few-shot learning
  • Deep understanding of architecture and design patterns underlying models like GPT, LLaMA, and BERT
  • Deep understanding of frameworks like PyTorch, TensorFlow, and HuggingFace
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field
  • Master’s or PhD is a plus

Responsibilities

  • analyze the behavior of LLMs
  • measure the value of data for AI systems
  • develop novel approaches, prototypes, and applications to solve real-world client problems using state-of-the-art models and technologies
  • apply technical skills to economics, legal, and business strategy problems
  • work on big ideas with Fortune 100 tech clients
  • partner with leading academic experts from top universities on some of the most interesting problems today
  • work on a broad range of fast-paced technology focused projects with cutting-edge companies and immediate impact

Other

  • Highly capable at managing complex analyses and diverse teams
  • High intellect and quick to learn with a passion for excellence
  • Desire to work in a fast-paced, self-directed entrepreneurial environment
  • Ability to manage multiple complex work streams and work across organizational boundaries
  • Able to effectively communicate technical concepts across a wide range of audiences