Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Keystone AI Logo

Sr. Software Engineer

Keystone AI

$133,000 - $175,000
Aug 18, 2025
Boston, MA, US • New York, NY, US • San Francisco, CA, US • Seattle, WA, US
Apply Now

Keystone is looking to solve complex challenges of competition, strategy, and intellectual property for leading technology firms and global brands.

Requirements

  • 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
  • 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 with client-facing project teams on high-stakes cases
  • Design, finetune, evaluate, and deploy state-of-the-art AI models
  • Manage complex analyses

Other

  • 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
  • 4-6 years of relevant professional experience
  • Highly capable at managing complex analyses and diverse teams