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Hyde

Turns institutional knowledge into enterprise AI

AI Builder - Multiple Teams

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Experience working in applied machine learning, reinforcement learning, evaluations, product engineering, and/or top-tier management consulting.
  • A strong foundation in machine learning basics, including evaluation, training, and problem decomposition.
  • Ability to run technical discovery with senior stakeholders, translate ambiguous business problems into scoped AI systems, and communicate model behavior credibly to non-technical audiences.
  • Proficiency in software engineering principles and an understanding of languages such as Python, Java, C++, TypeScript, or JavaScript.

Responsibilities

  • Drive the vision, strategy, and execution for building and deploying the training and inference stack that enables enterprises to develop reinforcement-learning-based agents.
  • For forward deployed engineering, embed directly with enterprise C-suite executives and senior stakeholders to identify high-value problem spaces and translate them into deployable AI systems, feeding into Hyde's core platform, primitives, and tooling.
  • For product, iterate on Hyde's product toolkits by capturing cutting-edge applied AI patterns that create delivery leverage, and capture usage insights from production environments to refine product abstractions and interfaces for deployments.
  • For research, conduct post-training research, train and fine-tune models, build agents, design evaluation frameworks, and create reinforcement learning environments for specific enterprise domains; feed key breakthroughs and techniques back into Hyde's core platform.

Desired Qualifications

  • Deep model-level understanding and experience deploying AI in creative ways to solve real-world problems.
  • Preferred backgrounds include Computer Science, Mathematics, Software Engineering, Physics, Machine Learning, and Data Science.

About the Company

Hyde

Turns institutional knowledge into enterprise AI

Hyde provides an integrated post-training and inference platform that helps enterprises convert their internal knowledge into owned specialist AI. The system collects and curates institutional expertise, trains models on that knowledge, and offers an inference platform that works within enterprise workflows, enabling AI to operate like their best human operators. Hyde differs from competitors by offering end-to-end ownership of the specialist AI—from post-training preparation to real-time inference—built specifically from the client’s own knowledge base. The company's goal is to help organizations scale their expertise by turning it into reliable, enterprise-aligned AI that can perform tasks at the level of top operators.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2025

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