Applied AI/ML Engineer
Intangible · Remote · Remote ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Applied AI/ML Engineer
- Fully remote (NA/EU)
- Python + PyTorch
- Agentic AI systems
- Venture-funded startup
Join Intangible, a spatial intelligence company backed by a16z Speedrun and Crosslink Capital. You will help creatives in film, advertising, and defense move beyond verbal prompts to spatial understanding by building generative AI models with precise control.
As an Applied AI/ML Engineer, you will design assistive technology that reduces the time from idea to visualization. You will work with an interdisciplinary team of engineers and artists to ship end-to-end products that empower users to communicate through interactive 3D media.
What you'll do
- Build agentic AI pipelines to extract intent and semantic structure from user input
- Design and maintain knowledge graphs for world, character, and story data
- Integrate cloud and client-side LLMs to drive creative workflows
- Fine-tune or augment foundation models for domain-specific tasks
- Build and operate MCP servers at scale
- Prototype AI features in collaboration with product and engineering teams
- Analyze opportunities to improve system performance and personalization
What you'll need
- Demonstrated exceptional ability in software development
- Strong understanding of ML principles, algorithms, and evaluation metrics
- Proficient in Python and ML libraries such as PyTorch or TensorFlow
- Experience with modern agentic AI frameworks
- Experience with vector databases for data storage and retrieval
- Experience with graph databases like Neo4j, RDF, or property graphs
- Ability to ship features end-to-end
- Experience developing and operating agentic backend experiences
Nice to have
- Experience building AI copilots or recommendation systems
- Background in computational linguistics or knowledge representation
- Experience with cloud ops, containerization, and IaC
- Multi-tenant architecture experience
Stack
- Python
- PyTorch
- TensorFlow
- Neo4j
- MCP
- LLMs
How you'll work
- Remote-first company
- Preference for SF/Bay Area candidates
- Open to remote in North America and Western EU
What you get
- Health insurance for employees and dependents
- 401(k) plan
- Flexible PTO