Intangible Logo

Intangible

Applied AI/ML Engineer

Posted 12 Hours Ago
Remote
Hiring Remotely in USA
Entry level
Remote
Hiring Remotely in USA
Entry level
Design and build AI assistants for interactive 3D workflows: build NLP pipelines, integrate cloud and client LLMs, design knowledge graphs, fine-tune foundation models, prototype AI features, and improve personalization and system performance.
The summary above was generated by AI
 
About Intangible

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.

What You'll Do
  • Design and develop assistive AI technology for interactive, 3D workflows

  • Use the technology you build to propel human ability to communicate with interactive 3D

  • Reduce the time it takes for someone to have an idea, visualize it, and share it with others

 
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.

Key Competencies
  • 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.

Ideal Candidate Has:
  • Experience building AI copilots.

  • Experience building recommendation systems.

  • Cloud ops, containerization, IaC and multi-tenant experience.

  • Background in computational linguistics or knowledge representation.

Benefits
  • We are a remote-first company with a small concentration in the Bay Area.

  • Health insurance for you and your dependants

  • 401(k) plan

  • Flexible PTO

Similar Jobs

8 Days Ago
In-Office or Remote
CA, USA
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead architecture and technical strategy for AI-driven product quality systems using LLMs and agents. Build scalable evaluation frameworks, detect regressions, generate insights, and drive cross-functional adoption while mentoring engineers and defining standards for trustworthy AI.
Top Skills: AgentsAi InfrastructureEvaluation SystemsLlmsRetrieval Architectures
10 Days Ago
Remote or Hybrid
180K-230K Annually
Senior level
180K-230K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Software
Design, build, deploy, and maintain production AI systems (LLM-powered and agentic) to automate healthcare reimbursement workflows. Own end-to-end model development, evaluation, monitoring, and continuous improvement; collaborate with product, data, and operations to translate requirements into reliable, scalable systems while ensuring safety, observability, and compliance with healthcare data standards.
Top Skills: Agentic SystemsEmbedding ModelsLlmsModel Fine-TuningMonitoringObservabilityOrchestrationPythonRetrieval SystemsTestingVector DatabasesVersioning
20 Days Ago
In-Office or Remote
Senior level
Senior level
Digital Media • Information Technology • Professional Services • Consulting
Lead and contribute to applied AI/ML projects across the SDLC: mentor teams, design and implement LLM-based solutions (RAG, copilots), architect integrations, manage data persistence choices, CI/CD, and present solutions to clients while influencing technical direction.
Top Skills: Amazon BedrockAPIsAuthn/AuthzChatgptCi/CdClaudeCopilotsEmbeddingsGraph DatabaseLlamaLlmMicroservicesMiddlewareMlopsOpenaiRagSoaVector Database

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account