About the Company:
OutcomesAI is on a mission of building safe artificial medical intelligence that supercharge healthcare teams.
Our Philosophy:
Albert Einstein once said, "Creativity is intelligence having fun." At OutcomesAI, we embrace this idea by tapping into the creativity and problem-solving abilities of our team members. Our work is guided by the principles of clarity, discipline, and consistency. We view our employees as true partners, bound by mutual respect and accountability.
We need optimists and idea generators.Happiness is a driving force behind our passion for excellence. We believe that meaningful and fulfilling work leads to happiness by providing a sense of accomplishment, purpose, and strong social connections. Our aim is to uplift individuals, both within our team and among our customers in the healthcare industry, through the positive outcomes we deliver.
We're seeking an experienced AI engineer to develop cutting-edge generative AI applications in healthcare. The ideal candidate will combine deep technical expertise to create innovative AI solutions that improve patient care and outcomes. You will have the chance to work with a world-class team to shape the future of healthcare with GenAI. You will work on and own ambitious projects with large impacts.
Key Responsibilities
Research, evaluate, implement and deploy cutting edge GenAI technologiesModel pre-training, fine-tuning, evaluation, deployment, monitoring and feedbackBuild algorithms and agentic frameworks, laid foundation for scalable AI systems
Requirements
PhD/Masters in AI, Computer Science, Data Science, or related quantitative field3+ years of experience as individual contributor on AI product (e.g., AI/ML engineer, SDE, DS)Deep understanding of concepts and algorithms underlying deep learning, including LLM/LMMHands-on experience in LLM/LMM pre-training, fine-tuning, data curation and synthesisExperienced in agent frameworks such as Langchain and/or building custom agentic frameworksStrong coding skills in Python and experience in PyTorch or other deep learning frameworksExperience in MLOps, system integration and monitoring of ML models in productionHands-on experience building LLM-based solutions to solve domain-specific problemsExcellent communication skills and ability to clearly articulate complex problems
Preferred Qualification
Experience in healthcare industry and familiarity with healthcare data Ability to implement and deploy latest GenAI research into production systemPublications in AI journals/conferences or contributions to open-source GenAI projects