Applied AI/ML Engineer

Intangible

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Intangible is a spatial intelligence company designed for creatives in industries where space and movement matter. We aim to move beyond verbal intelligence to spatial intelligence (3D) by giving generative AI models a better understanding of human imagination through camera-centric control systems and technical innovation in 3D design, semantic systems, and AI/ML.

Responsibilities

  • Build NLP pipelines that extract intent, entities, and semantic structure from user input
  • Analyze opportunities for improving the AI system's performance and personalization
  • Integrate cloud and client LLMs to drive creative workflows
  • Design and maintain knowledge graphs to represent world, character, and story data
  • Prototype and apply AI features in collaboration with product and engineering teams
  • Fine-tune or augment foundation models for domain-specific tasks

Requirements

  • Strong experience with modern NLP/LLM frameworks (e.g., Transformers, LangChain)
  • Experience with data storage and retrieval with vector databases
  • Experience with graph databases (e.g., Neo4j, RDF, property graphs)
  • Experience developing and operating agentic backend experiences, tools, and optimizations
  • Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow)
  • Understanding of ML principles, algorithms, and evaluation metrics
  • Ability to ship features end-to-end

Preferred Qualifications

  • Experience building AI copilots
  • Experience building recommendation systems
  • Experience with cloud ops, containerization, IaC, and multi-tenant environments
  • Background in computational linguistics or knowledge representation

Benefits

  • Health insurance for you and your dependants
  • 401(k) plan
  • Flexible PTO

Skills & tools

PythonPyTorchLLMNLPLangChain

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01NLP/LLM frameworks
  2. 02Vector databases
  3. 03Graph databases
  4. 04Python
  5. 05PyTorch
  6. 06TensorFlow
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