Location: Palo Alto, CA
Type: Internship
Duration: 12-24 weeks
Start Date: Multiple through the year.
Hippocratic AI has developed a 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.
Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.
Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.
Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.
World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.
We are looking for a Conversation AI Engineer to bend language models to their will. In this role, you will collaborate with engineers and research scientists to enhance the effectiveness and safety of generative AI solutions by designing, testing, and improving prompts that drive clinical safety and patient experience. You will also create automations to test your creations. An ideal candidate is equal parts software engineer and prompt engineer, loves experimentation and tinkering, is extremely thorough and detail oriented, and has a passion for conversation and communication.
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.
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