Founding Applied Scientist - RenderWolf AI
Job Description
Who we areΒ
RenderWolf AI is on a mission to bring game creation to the masses. People of all ages across centuries have loved creating and playing games together. We believe that AI can empower everyone to create games for each other on the devices we use everyday, using just their creative thinking and playful spirit.Β
As an early member of our team, you will help build the future of how digital games are made using generative AI. The founders have over a decade of experience in tech. They previously worked together at AWS and Alexa building AI products for hundreds of millions of people, and built games played by millions worldwide at companies such as Zynga.
As an applied scientist at RenderWolf AI you will help us develop cutting-edge generative AI models to power creative products for game studios. Together, we will bring AI research to millions of users in the form of products and interfaces that were never possible before, and empower them to make entire games using simple natural language instructions.
What you will do in this role
- Apply cutting edge AI models and techniques to build product features that solve the needs of art teams at game studios
- Develop new generative AI models and techniques or improve existing models and techniques to help achieve our product vision
- Develop internal software tooling to automate mundane tasks, facilitate experimentation and prototyping of new models and techniques
- Stay tuned-in the the latest and greatest advancements in the field of generative AI
What you need to excel in this role
- We are looking for candidates with a strong background building impactful and novel machine learning projects, strong software engineering skills and a desire to convert research into products that people love.
- BS or advanced degree in Computer Science; Computer Vision and/or AI research experience preferred
- Experience developing and executing major AI/ML project(s) at a company or as part of an academic research team
- Fluency with Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch.
- Able to build simple software tools to improve research productivity through automation, experimentation, prototyping and evaluation.Β
What we offer
Compensation: Salary, early stage stock options
Remote work
Benefits (health insurance, 401K etc.)Competitive PTOΒ
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Date Posted
09/29/2023
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Subjectivity Score: 0.9