Senior Technical Recruiter, Full Life Cycle

About Us:

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.

Why Join Our Team:

• Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.

• Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, and NVIDIA.

• Strategic investors: Raised $137 million from top investors including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures, and Greycroft.

• Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.

For more information: Visit www.HippocraticAI.com.

We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description.

Overview:

Hippocratic AI is seeking a skilled Technical Recruiter with a specialized focus on Software Engineering, Machine Learning (ML), and Large Language Models to join our team on a contract basis. This role will primarily focus on sourcing and attracting top talent for Software Engineers as well as cutting-edge ML and NLP projects, including the development and deployment of Large Language Models. The successful candidate will play a crucial role in building a strong pipeline of qualified candidates to support our technical teams. This role will start out as a 3 month contract.

Responsibilities:

1. Sourcing Strategy: Develop and execute innovative sourcing strategies to identify and engage with top ML, NLP, and Large Language Models talent.

2. Candidate Identification: Proactively source and identify potential candidates with expertise in ML, NLP, and Large Language Models through various channels, including online platforms, academic networks, conferences, and industry events.

3. Engagement and Outreach: Utilize effective outreach methods to engage with potential candidates and generate interest in our opportunities.

4. Candidate Screening: Conduct initial screenings and assessments to evaluate candidate qualifications, skills, and fit for technical roles.

5. Pipeline Management: Build and maintain a robust pipeline of qualified candidates for ML, NLP, and Large Language Models positions, ensuring a steady flow of candidates for current and future hiring needs.

6. Market Research: Stay updated on industry trends, emerging technologies, and best practices in ML, NLP, and Large Language Models recruitment to continuously improve sourcing strategies.

Qualifications:

1. Bachelor's degree or equivalent work experience.

2. Proven experience as a technical recruiter, with a focus on sourcing ares such as Software Engineering, ML, NLP, and Large Language Models roles.

3. Deep understanding of Software Engineering, ML, NLP, and Large Language Models concepts, technologies, and applications.

4. Proficiency in sourcing tools and techniques, including online platforms, Boolean search, and social media.

5. Strong communication and interpersonal skills, with the ability to engage and build relationships with technical candidates.

6. Ability to work independently and manage multiple sourcing projects simultaneously.