About the Role

This role focuses on developing multimodal LLMs and automation agent systems for practical AI agents that can take actions in digital and physical worlds. The candidate will collaborate with cross-functional teams to solve complex GenAI problems and drive innovation in reinforcement learning and supervised fine-tuning. The position involves designing experiments, mentoring junior team members, and contributing to long-term GenAI development.

Key Responsibilities

• Develop multimodal Large Language Models (LLMs) to observe, model and derive insights from manual workflows for automation
• Work in a joint scrum with engineers for rapid invention, develop automation agent systems, and take them to launch for millions of customers
• Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI
• Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results
• Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team

Required Skills & Qualifications

Must Have:

• PhD, or Master's degree and 5+ years of applied research experience
• 3+ years of building machine learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Nice to Have:

• PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning
• Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
• Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
• Experience with patents or publications at top-tier peer-reviewed conferences or journals

Benefits & Perks

• Medical benefits
• Financial benefits
• Equity and sign-on payments