Staff/Principal Machine Learning Engineer - Canada
AI
hybrid: Mountain View
added Wed Aug 23, 2023
Apply to InworldWe are seeking Staff and Principal level Machine Learning Engineers with extensive experience in Natural Language Processing (NLP). You will be at the forefront of building generative AI products that utilize Large Language Models (LLMs) to create next-generation AI characters.
Qualifications
- 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.
- 1+ years of experience training LLMs (6B parameters and larger) such as NeoX, LLaMA, PaLM, etc. is considered a big plus.
- Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX.
Responsibilities
- Explore and experiment with cutting edge ML techniques for applied NLP.
- Develop and test production-grade scalable generative machine learning models.
In-office location: Vancouver, Canada.
Remote location: Canada.
Why Join Inworld
Inworld is a developer platform for building AI characters. We go beyond large language models (LLMs) and add performance, configurable safety, knowledge, memory, narrative controls, multimodality, and more. We’re focused on enabling character-based interactions for immersive experiences like video games, brand activations, and training simulations.
Inworld uses advanced AI to build generative characters whose personalities, thoughts, memories, and behaviors are designed to mimic the deeply social nature of human interaction. Our platform lets you create characters with personality and contextual awareness to keep them in-world and on brand. Integrations make it easy for developers to deploy characters into immersive experiences, while scale and performance are optimized for real-time experiences.
Inworld AI is funded by top-tier investors, including Kleiner Perkins, Intel, Microsoft, and Founders Fund, and a team of all-star angels - corporate executives, top VC funds' partners, and industry veterans from Riot Games, Twitch, and Oculus.