Job Description:
As a Principal Software Engineer in our Audio Processing team, you will be pivotal in enhancing the robustness of our real-time speech system. Your primary responsibility will be to develop and optimize algorithms for processing voice data, ensuring clear and accurate voice recognition under various conditions.
Key Responsibilities:
- Develop and implement advanced audio processing algorithms for real-time voice data analysis.
- Optimize existing voice processing systems to improve speed and accuracy.
- Collaborate with cross-functional teams to integrate audio processing techniques into our speech recognition systems.
- Conduct research to stay abreast of the latest developments in audio processing and machine learning.
- Provide technical leadership and mentor junior engineers in best practices for audio processing.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Minimum of 5 years of experience in software development, with a focus on audio processing.
- Strong proficiency in programming languages such as C++, Python, or Java.
- In-depth knowledge of digital signal processing techniques and real-time audio processing.
- Experience with machine learning algorithms and their application in voice or audio processing.
- Demonstrated ability to work in a fast-paced, collaborative environment.
- Excellent problem-solving and analytical skills.
Preferred Skills:
- Experience with speech recognition technologies.
- Familiarity with cloud computing and distributed systems.
- Publications or contributions to open-source projects in the field of audio processing or machine learning.
About Hippocratic AI:
Hippocratic AI is building a safety focused large language model (LLM) for the healthcare industry. We believe that generative AI has the potential to massively increase healthcare access the world over but has to be built and tested responsibly. Like the Hippocratic oath that doctors take, we are building a model that aims to “Do no Harm.”