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Senior AI Engineer - Generative NLP for Dynamic Game Worlds
Summary by AIEngineer.careers
Senior AI Engineer - Generative NLP for Dynamic Game Worlds is a NLP Engineer role (full-time). with Inworld AI. in MOUNTAIN VIEW, US. Compensation shown: $240K–$385K. Imported listing (source: mechanic.jobserve.com). Apply on the employer's site (mechanic.jobserve.com).
Imported listing (source: mechanic.jobserve.com) · Apply on mechanic.jobserve.com
MOUNTAIN VIEW · US
$240K–$385K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from mechanic.jobserve.com
Inworld AI is seeking a Senior AI Engineer to build generative NLP systems for dynamic game worlds. You will develop and test production-grade scalable generative machine learning models using LLMs to create next-generation AI characters. This role involves exploring cutting-edge ML techniques for applied NLP and requires deep expertise in NLP and large language models.
Responsibilities
- Explore and experiment with cutting edge ML techniques for applied NLP
- Develop and test production-grade scalable generative machine learning models
- Build generative AI products that utilize Large Language Models (LLMs) to create next-generation AI characters
Requirements
- BA/BS degree or higher in Computer Science, Engineering, or a similar technical field
- 6 years of experience with software development in one or more programming languages
- 4 years of experience with applying machine learning algorithms in natural language processing domains
- Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
Nice to Have
- 1+ years of experience training LLMs (6B parameters and larger) such as NeoX, LLaMA, PaLM, etc.
Inworld AI
Mountain View · US · 85+ employees
Inworld AI is a product-oriented realtime AI research lab and model provider focused on voice AI for natural, human-like conversation. Its platform supports interactive voice agents and conversational applications across areas such as entertainment, education, customer support, and enterprise use.
