Aartificial intelligence, AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, GoLang, Google Cloud Platform (GCP), GPUs, Machine learning techniques, Python Programming, Software Development
About us
Character’s mission is to give everyone on earth access to their own deeply personalized superintelligence that helps them live their best lives.
Achieving our mission will require solving ambitious technical challenges, including engineering, research, and design, and we are assembling a world-class team to do so. Our founding team includes AI pioneers from Google Brain and Meta Research whose research has led to major breakthroughs in natural language understanding and dialog applications such as Transformers and Google LaMDA.
Check out our beta to get a glimpse into the future.
About the role
Responsibilities:
As a Staff Software Engineer - Application at Character, you’ll work cross functionally with design, product and ML researchers to identify, design and implement the next generations of our “runtime stack” - one of the fastest growing consumer applications on the market today. You will lead implementation of our backend systems to support new parts of our product while working with the Staff Software Engineer - Infrastructure role to support scaling our existing systems.
Requirements:
Desired Experience:
You will be a good fit if you are proactive and have a “get things done” mindset. Given our current pace of growth and load on our systems, most people have had a significant impact during their first week at the company.
Character is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. We value diversity and encourage applicants from a range of backgrounds to apply.
Character.ai is a neural language model chatbot service that can generate human-like text responses and participate in contextual conversation. Constructed by previous developers of Google's LaMDA, Noam Shazeer, and Daniel De Freitas, the beta model was made available to use by the public in September 2022.
New York, NY, USA; Menlo Park, CA, USA
2-4 year
New York, NY, USA; Menlo Park, CA, USA
4-6 year