10d 16h ago
Applied AI/ML Engineer
Intangible·ML / AI Engineer · Generative AI
🏢Hybrid
|San Francisco, United States of America|Relocation$250k - $300k USD/yr
langchainllmneo4jnlp+4
Applied AI/ML Engineer
Intangible | ML / AI Engineer | Generative AI
Hybrid
Full Time
United States of America, San Francisco
$250k - $300k USD/yr
Source not independently verified
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Position:
Applied AI/ML Engineer
Company:
Intangible
Location:
USA, San Francisco or Remote (North America & Western EU)
Employment type:
Full Time
Work Arrangement:
Remote, Hybrid, Onsite
Short Summary:
Intangible is seeking an Applied AI/Machine Learning Engineer to design and build AI assistants for interactive 3D workflows, enhancing communication and visualization capabilities.
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.
Requirement:
- Exceptional software development ability.
- Expertise in ML, NLP, and LLM.
- Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow).
- Experience with vector and graph databases (e.g., Neo4j, RDF).
- Ability to ship AI features end-to-end.
Benefits:
- Health insurance for you and your dependants.
- 401(k) plan.
- Flexible PTO.
Applied AI/ML Engineer
Company:
Intangible
Location:
USA, San Francisco or Remote (North America & Western EU)
Employment type:
Full Time
Work Arrangement:
Remote, Hybrid, Onsite
Short Summary:
Intangible is seeking an Applied AI/Machine Learning Engineer to design and build AI assistants for interactive 3D workflows, enhancing communication and visualization capabilities.
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.
Requirement:
- Exceptional software development ability.
- Expertise in ML, NLP, and LLM.
- Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow).
- Experience with vector and graph databases (e.g., Neo4j, RDF).
- Ability to ship AI features end-to-end.
Benefits:
- Health insurance for you and your dependants.
- 401(k) plan.
- Flexible PTO.
Required Skills
langchainllmneo4jnlppythonpytorchtensorflowtransformers
Required Languages
🇬🇧 English
Relocation support available
Key competency: ML / AI Engineer