AI/ML Engineer

About the Role

Key Responsibilities

• Developing and implementing models and methods that extend and improve LLM capabilities and reliability
• Research, design and implement scalable machine learning solutions
• Developing new solutions and science best practices in Responsible AI
• Developing the research and innovation agenda
• Design, implement and deploy Deep Learning models, RAG and LLMs
• Collaborating with the Optum AI team and fellow scientists and engineers

Requirements

• Master degree in computer science, Machine Learning, statistics, engineering, mathematics, or another STEM discipline
• 3+ years of DL frameworks such as PyTorch and/or TensorFlow
• 2+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains
• 2+ years of experience in Generative AI, grounding architectures, fine-tuning LLMs and/or improving pre-train LLM's performance
• 2+ years of developing machine learning applications
• 1+ years of solid agentic research and developing experience

Nice to Have

• Ph.D. in Machine Learning with focus on NLP and/or GenAI
• Experience with Advanced Deep Learning, applied math and statistics
• Experience developing and refining graph science methods and LLMs
• Experience developing agentic frameworks to empower autonomous agent
• Proven solid technical and scientific knowledge about generative AI

Qualifications

• Educational background in STEM disciplines as specified in requirements

Benefits & Perks

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Salary range from $71,200 to $127,200 annually
• Remote work flexibility