Founding AI Engineer, Agents

New York

Occam AI

Giving enterprise software automation capabilities

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Location: New York

Employment Type: Full-time

Application Link: https://jobs.ashbyhq.com/Occam/529291c4-6d0b-491e-a502-3d324f221107

About Occam AI

We’re on a mission to breathe life into software by giving it action taking abilities. We are leveraging recent advances in generative models, reinforcement learning and symbolic AI, to give software the ability to action complex goals. We envision a world in which software applications become their own autonomous agents, trading information, value and decisions with their users and with each other.

We are building a category defining autonomous agent architecture that’s designed from the ground up for complex, high sensitivity, context dependent enterprise software use cases.

Our team is comprised of industry veterans in applied machine learning research and data platforms, who are former leaders and founders from Meta, Monzo and QuantumBlack, amongst others.

About the Role

As a Founding AI Engineer, you'll play a critical role in the development and scaling of our agents infrastructure, going all the way from data ingestion to building state-of-the-art action-taking architectures. If you have a strong bias to action, thrive on ambiguity and desire to own problems end-to-end, we’d love to hear from you.

Things you can work on

  • Work with researchers to translate the latest in state-of-the-art automation and reasoning methods to working code.
  • Devise and implement ground-truth data collection techniques for fine-tuning generative action models.
  • Implement pipelines for processing and constructing reference datasets and tools for solving goals.
  • Build end-to-end machine learning models that power self-improving agents.
  • Implement public and private knowledge graphs for generative models.

Things we look for

  • Evidence of exceptional ability.
  • Experience with generative model architectures, including Retrieval Augmented Generation, Graph Learning, AI agents and tree-search augmented LLMs.
  • Experience building scalable data applications with Python.
  • Full-stack ML development experience.
  • Publications in top deep learning venues (ICLR, NeurIPS, ICML, CCVPR).
  • Experience building fast-changing enterprise software in a high-growth environment.

Compensation

  • Salary: $100-180K
  • Equity: 0.25-1%

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Tags: Architecture Deep Learning Generative modeling ICLR ICML LLMs Machine Learning ML models NeurIPS Pipelines Python Reinforcement Learning Research

Perks/benefits: Career development Equity

Region: North America
Country: United States
Job stats:  365  39  1

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