Senior Applied AI Scientist

Role Overview

We are seeking a Senior Applied AI Scientist to lead the research, development, and deployment of advanced machine learning and AI systems that power Claritev ’s next generation of healthcare products. This is a hands-on technical leadership role for an experienced applied scientist who thrives at the intersection of research innovation, real-world deployment, and measurable business impact.

What You Will Do

Design, develop, and deploy machine learning and AI models in production environments, build predictive, generative, and optimization models to improve healthcare outcomes and operational efficiency, and improve existing models and systems with measurable impact on performance, scalability, or business metrics.

Why It Might Be a Fit

You will work closely with Product, Engineering, and business leaders to translate cutting-edge research into scalable production solutions that improve transparency, reduce costs, and simplify healthcare operations. You will also have opportunities to collaborate directly with clients to gather feedback and ensure solutions deliver measurable value.

Requirements

• Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
• 3–6 years of experience post-MS, or 0–3 years post-PhD applying Machine Learning (ML), Predictive Modeling, or Generative/Agentic AI in industry, with a proven track record of delivering solutions from prototype to production.
• 1-2 years of hands-on experience with Generative AI and agent development.
• Healthcare or health services experience is a plus
• Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and agentic frameworks (e.g. LangChain, LangGraph, Autogen, crewAI, n8n).
• Expertise in designing and implementing RAG pipelines, and integrating planning, memory, tools, MCP, and A2A protocol for agent workflows.
• Experience in building evaluation pipelines for LLM and agent performance, including metrics such as accuracy, reliability, and latency.
• Proficiency in using AI Coding tools like Github Copilot, OpenAI Codex etc.
• Strong foundation in ML theory, including deep learning, statistics, or optimization.
• A product-oriented mindset, with the ability to align applied science work with business objectives and impact.
• Excellent communication and cross-functional collaboration skills.

Benefits

• Medical, dental and vision coverage with low deductible & copay
• Life insurance
• Short and long-term disability
• Paid Parental Leave
• 401(k) + match
• Employee Stock Purchase Plan
• Generous Paid Time Off – accrued based on years of service
• 10 paid company holidays
• Tuition reimbursement
• Flexible Spending Account
• Employee A