Research Engineer / Machine Learning Engineer - Applied Voice
OpenAI
San Francisco, United States
Remote
Design and build advanced machine learning models
Implement scalable data pipelines
Optimize models for performance and accuracy
We are looking for visionary Research Engineers to join our Applied Voice Team, where you'll conduct groundbreaking research on speech models and transform it into real-world applications that can change industries, enhance human creativity, and solve complex problems
Job Summary
We are looking for visionary Research Engineers to join our Applied Voice Team, where you'll conduct groundbreaking research on speech models and transform it into real-world applications that can change industries, enhance human creativity, and solve complex problems.
As a Research Engineer in OpenAI's Applied Voice Team, you will have the opportunity to work with some of the brightest minds in AI.
Your work will directly influence how AI benefits individuals, businesses, and society at large.
Matching Summary
We are looking for visionary Research Engineers to join our Applied Voice Team, where you'll conduct groundbreaking research on speech models and transform it into real-world applications that can change industries, enhance human creativity, and solve complex problems.
Skills & Requirements
Must-have
Design and build advanced machine learning models
Implement scalable data pipelines
Optimize models for performance and accuracy
Engage with latest developments in machine learning and AI
Nice-to-have
Making AI technology accessible and impactful
Move fast in loosely defined environments
Own problems end-to-end
Key Requirements
Master's/ PhD degree in Computer Science, Machine Learning, or related field
2+ years of professional engineering experience
Demonstrated experience in deep learning and transformers models
Proficiency in frameworks like PyTorch or Tensorflow
Strong foundation in data structures, algorithms, and software engineering principles
Familiar with methods of training and fine-tuning large language models