Applied AI/ML Engineer

Intangible

1d•Remote

About The Position

Intangible is a spatial intelligence company, designed for creatives in industries where space and movement matter — everything from film & advertising to events and defense/space tech. We aim to move beyond verbal intelligence (prompts) to spatial intelligence (3D) by giving generative AI models a better understanding of exactly what humans imagine. We get there with camera-centric control system as well as technical innovation in 3D design, semantic systems, AI/ML, and knowledge graphs — all designed to live on the open web and deliver professional grade control over generative AI models. We are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM, Google and Electronic Arts. Intangible is venture-funded by a16z Speedrun, Crosslink Capital and prominent angels. We are looking for like minded creative technologists who love their craft and building groundbreaking products. The Role We’re looking for a Applied AI/Machine Learning Engineer to join our growing team. You'll play a principal role in designing and building AI assistants that empower people to use interactive 3D as a medium. Location: Preference for SF/Bay Area, CA. Open to remote candidates in North America & Western EU.

Requirements

Evidence of exceptional ability in software development .
Understanding of ML principles, algorithms, and evaluation metrics.
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, optimizations.
Proficient in Python and ML libraries (e.g., PyTorch, TensorFlow).
Ability to ship features end-to-end.

Nice To Haves

Experience building AI copilots.
Experience building recommendation systems.
Cloud ops, containerization, IaC and multi-tenant experience.
Background in computational linguistics or knowledge representation.

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.