About the job
About Our Team
At OpenAI, we are pioneers in the field of artificial intelligence, committed to driving innovation and shaping a future where AI benefits everyone. We seek passionate and visionary Research Engineers to become part of our Applied Voice Team. In this role, you'll engage in transformative research on speech models, translating these insights into real-world applications that can revolutionize industries, enhance human creativity, and tackle complex challenges.
About the Role
As a Research Engineer on OpenAI's Applied Voice Team, you will collaborate with some of the most talented professionals in AI. You will be responsible for designing and developing cutting-edge speech models, including speech-to-speech, transcription, and text-to-speech functionalities. Your work will help translate groundbreaking research into practical solutions for B2B applications, APIs, and ChatGPT AVM. If you are eager to make AI more accessible and impactful, this is your opportunity to leave a lasting legacy.
Key Responsibilities:
Innovate and Build: Conceptualize and create advanced machine learning models that address real-world challenges, transforming OpenAI's research into AI applications with significant impact.
Collaborate with Experts: Partner with software engineers, product managers, and deployed engineers to understand intricate business challenges, respond to customer needs, and deliver AI-driven solutions. Join a vibrant team environment where creativity and ideas flourish.
Optimize and Scale: Develop scalable data pipelines, enhance models for improved performance and accuracy, and ensure readiness for production. Contribute to high-tech projects that demand innovative methodologies.
Learn and Lead: Stay at the forefront of developments in machine learning and AI by participating in code reviews, sharing insights, and exemplifying high-quality engineering practices.
Make an Impact: Oversee and maintain deployed models to ensure they consistently provide value. Your contributions will significantly influence the role of AI in benefiting individuals, businesses, and society as a whole.
Ideal Candidate Profile:
Master's or PhD in Computer Science, Machine Learning, or a related discipline.
A minimum of 2 years of professional experience in engineering roles within technology and product-focused organizations (internships excluded).

