Offer summary

Qualifications:

Master's or above degree in Computer Science, Data Science, Statistics, or related field., 5+ years of experience implementing state-of-the-art ML algorithms for real-world applications., Strong foundation in diverse ML approaches, including neural networks and Bayesian methods., Proficiency in Python and/or Go, with expertise in LLM implementation and fine-tuning..

Key responsibilities:

Fine-tune and optimize large language models to meet specific product requirements.

Collaborate with data science, product, and clinical teams to enhance the AI agent platform.

Develop and maintain efficient, reusable, and testable code for AI applications.

Continuously evaluate and implement emerging AI technologies and methodologies.

Job description

We're seeking an innovative AI Engineer to develop and optimize AI agent pipelines for clinical research workflows. The ideal candidate will drive the evolution of our healthcare AI platform through model fine-tuning, efficiency optimization, and close collaboration with cross-functional teams.

An ideal candidate would be a dynamic professional who maintains an active passion for AI industry developments and continuously seeks to explore innovative approaches for model improvement. They should possess a strong analytical mindset with meticulous attention to detail, while demonstrating excellence in cross-functional team collaboration. We're looking for someone who thrives in a rapidly evolving technological landscape and can adapt quickly to new developments, turning emerging opportunities into practical solutions for our healthcare platform.

Responsibilities

Fine-tune and optimize large language models to meet specific product requirements

Collaborate with data science, product, and clinical teams to enhance our AI agent platform

Develop and maintain efficient, reusable, and testable code

Build and optimize semantic textual similarity pipelines

Integrate multiple data sources and databases while ensuring system reliability

Continuously evaluate and implement emerging AI technologies and methodologies

Minimum Qualifications:

Master's or above degree in Computer Science, Data Science, Statistics, or related field

5+ years of experience implementing state-of-the-art ML algorithms for real-world applications

Strong foundation in diverse ML approaches, from neural networks to Bayesian methods

Demonstrated expertise in LLM implementation, prompt engineering, and fine-tuning

Experience with semantic similarity pipelines and embedding techniques

Proven track record of production-level AI system deployment

Technology Skills / Strengths

Proficiency in Python and/or Go

Experience with graph databases (Neo4j) and vector databases (Weaviate, etc)

Strong background in production pipeline development

Expertise in REST API design and microservices architecture

So, if you are a AI/ML Engineer with experience, please apply today!

A bit of info about who we are:

We are an AI agents startup based in San Francisco, backed by two of the largest health care institutional investors: 8vc (https://8vc.com/bio-it) and Optum / United Health Group (Fortune #5 company). We are an innovator in clinical research execution and work with some of the largest pharma companies to accelerate their medical innovations to market. Our founders are successful serial entrepreneurs, with three of their past companies leading to IPOs (VMware, MobileIron) or exits (LexentBio acquired by Roche).

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