Our hiring partner is building the technology infrastructure the nation needs to deliver the healthcare everyone deserves. As a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities, they are replacing fragmented, outdated systems with an industry-first unified claims processing architecture. This platform seamlessly consolidates pharmacy and medical benefit administration onto a single, secure system -delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery.

The company is the intelligence platform powering benefits plans for millions of Americans and is proudly leading the next generation of care. They are now expanding their AI research and development capabilities, seeking Applied Scientists to contribute to the development of Large Language Models aimed at advancing the state-of-the-art for AI-based automation in healthcare.

Why This is a Defining Opportunity

1. Develop Frontier AI for Healthcare: Contribute to the development, improvement, and exploration of multimodal LLMs to solve complex real-world problems and build Conversational AI products.
2. Own the Full ML Lifecycle: Work across problem definition, data exploration, feature engineering, model training, validation, and deployment, productionizing solutions that directly impact healthcare outcomes.
3. Collaborate with Experts: Join a collaborative team environment where you will work alongside passionate AI/ML scientists, engineers, and product leaders.
4. Mission-Driven Work: Join a high-growth startup where your contributions directly shape the future of AI-driven healthcare automation.

About the Role

We are seeking a Senior Applied AI/ML Scientist to join the mission to infuse cutting-edge AI/ML/GenAI into healthcare. As an Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of multimodal LLMs to solve complex real-world problems geared towards building Conversational AI products that enable increased productivity and magical experiences for customers.

The ideal candidate is passionate about applying AI/ML concepts to difficult problems and developing scalable, customized solutions. This role requires a collaborative team player who enjoys creating practical, efficient, and high-performance software leveraging LLMs, multimodal language models, and other ML techniques.

Key Responsibilities

1. Investigate the latest LLM and MLM models, evaluating and comparing accuracy and efficiency for in-domain use cases.
2. Develop tools and processes to create data pipelines for ML training and customization.
3. Fine-tune LLMs for the healthcare domain.
4. Help develop and productionize ML solutions leveraging customized models in the fields of document understanding, search and Q&A, GenAI, and virtual agents.
5. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
6. Participate in code reviews, testing, and quality assurance processes.
7. Troubleshoot and resolve technical issues related to AI model integration, deployment, and backend services.
8. Document and communicate research and development processes and architectural decisions.
9. Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

Required Qualifications

1. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. PhD in AI, Machine Learning, or Computer Science preferred.
2. Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development.
3. Strong grasp of object-oriented programming, design patterns, efficient algorithms, and quality software development.
4. Solid understanding of Machine Learning fundamentals such as deep neural networks, transformer-based LLMs and MLMs, boosted or standard decision trees, and RAG.
5. Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
6. Experience with training (pre-training, fine-tuning, RLHF, post-training) of autoregressive language models like LLaMA, GPT-x, Mistral, etc.
7. Experience with open-source LLM platforms and training stacks (e.g., HuggingFace, DeepSpeed).
8. Experience with ML platforms such as AWS SageMaker, Azure ML, Databricks, etc.
9. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
10. Passion for customer, innovation, and product quality.
11. The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
12. Good written communication skills that enable collaboration in a remote environment.
13. Experience in healthcare or life sciences is a plus.

Apply Now

If you are a senior applied scientist with deep expertise in LLMs and a passion for applying AI to complex, real-world healthcare problems, we encourage you to apply. This is a defining opportunity to shape the future of AI-driven healthcare automation at scale.