Research Scientist Intern (Speech Synthesis)

Location: Palo Alto, CA
Type: Internship
Duration: 12-24 weeks
Start Date: Multiple through the year.

About Us:

Hippocratic AI’s mission is to develop the first safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.

The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, and NVIDIA. Hippocratic AI has received a total of $137 million in funding and is backed by leading investors, including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures, and Greycroft. For more information on Hippocratic AI: www.HippocraticAI.com.

Position Overview:
We are seeking a motivated Research Scientist Intern to assist our team in developing and refining cutting-edge speech synthesis solutions in a voice to voice conversational setting, leveraging paralinguistic cues. This is a fantastic opportunity for someone looking to gain hands-on experience in a fast-paced environment and learn from industry experts.

Key Responsibilities:

• Assist in the development and testing of speech synthesis solutions in a voice to voice multi-turn conversational setting.
• Collaborate with engineers and linguists to improve voice quality and user experience.
• Analyze and process audio data for training purposes.
• Conduct research on the latest trends in voice synthesis technology.
• Help with documentation and presentation of findings.
• Participate in team meetings and contribute ideas to ongoing projects.

Qualifications:

• Currently pursuing a PhD in Computer Science, Linguistics, Engineering, or a related field.
• Familiarity with programming languages such as Python or C++.
• Strong analytical skills and attention to detail.
• Excellent communication skills and ability to work in a team.
• Passion for language technology and audio processing.

What We Offer:

• Hands-on experience a multi modal world of conversational LLMs.
• Mentorship from experienced professionals in the industry.
• Opportunities to participate in innovative projects.
• Flexible working hours and a supportive work environment.
• Potential for future employment based on performance.