Machine Learning Engineer

Mountain View /
R&D Team /

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience with applying machine learning algorithms in imaging or language domains.
Programming experience in Python and (TensorFlow or PyTorch). 


Explore artificial intelligence methods to support content creation, code and language understanding.
Develop and test scalable machine learning algorithms using deep learning methods. 
Create and verify latest research methods for controllable text and code generation. 
Develop and test data processing pipelines including those in the cloud.
Feature engineering and selection. 

About the job

Inworld AI’s software engineers develop key technologies in the intersection of AI, machine learning and metaverse/XR-worlds. We define how billions of users are going to interact with each other and with worlds in the near future. In Inworld AI we are solving open ended complex problems which no one could solve before. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing and interaction design. We provide you with top of the range technologies and hardware to help you perform your duties. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a software engineer you will work on a specific project dealing with high scale data, data pipelines, machine learning modeling, machine learning training, models and hypothesis testing. Your responsibility will include software development, pipeline development, model development, model training and testing.