Why Join Inworld

Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors like Intel, Microsoft, Lightspeed, Bitkraft, Founders Fund, Kleiner Perkins, and more. Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world and was nominated alongside Anthropic, DeepMind, OpenAI and Nvidia for Generative AI Innovator of the Year at the VentureBeat Awards 2023.

Inworld is the leading AI engine for games, enabling developers to build groundbreaking game mechanics, dynamic NPCs and worlds that evolve with each action. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft/Xbox, Epic Games, and Unity.

We 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: Mountain View, CA, United States.

Remote location: United States.

The US base salary range for this full-time position is $240,000 - $385,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.

Inworld Jobs Privacy

Apply for this Job

* Required

First Name *

Last Name *

Email *

Phone

Resume/CV *

Dropbox Google Drive

(File types: pdf, doc, docx, txt, rtf)

Cover Letter

Dropbox Google Drive

(File types: pdf, doc, docx, txt, rtf)

LinkedIn Profile

Website

Are you legally authorized to work in the United States? *

Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)? *

What is your preferred work location? *

When can you start a new role? *

Do you have experience with productionalizing LLMs?

Please describe a project where you were responsible for productionalizing a Machine Learning workflow related to NLP. What were the key challenges, and how did you overcome them?

Could you describe an instance when you led or were significantly involved in the research and experimentation of ML models? What were your key findings and how did they influence the final model's design and performance?

What experience do you have with model training and serving optimizations on GPUs or TPUs?

Enter the verification code sent to to confirm you are not a robot, then submit your application.

Security Code *

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.

Staff / Principal Machine Learning Engineer - USA

Why Join Inworld

Qualifications

Responsibilities

Apply for this Job