Lead AI & LLM Research Team (Multimodal Systems)

Google; Little Rock (AR); On-site; USD 28,000 - 41,000; Full time

Job summary

Google's researchers seek to push the boundaries of large language models and multimodal AI. This role leads a team to design, train, and evaluate LLMs, coordinating across disciplines to convert research into practical, scalable solutions.

You will mentor scientists, collaborate with teams across Google Research, and drive projects that advance AI methods while delivering measurable impact in real-world applications.

Qualifications

• Four-year degree or equivalent experience.
• 2 years of involvement with programming advancement, and information structures/algorithms.
• 2 years of involvement building groups, AI, language-displaying, man-made intelligence calculations, information handling, and unaided AI.
• 2 years of involvement with research with consecutive displaying or generative artificial intelligence, deep learning models, and transformers.
• 2 years of involvement with a specialized influential position driving task groups and setting specialized course.
• 2 years of involvement working in a complex, matrixed association including cross-utilitarian or cross-business projects.
• 2 years of involvement adding to explore networks/endeavors, remembering distributing papers for logical diaries or gatherings.
• Experience in programming (e.g., C/C++, Java, Python), PC vision, self-administered learning, move learning, and support learning.

Responsibilities

• Configuration, carry out, and approve new AI methods for multimodal displaying and mix/joint preparation with LLMs.
• Team up with other LLM specialists and scientists chipping away at different modalities. Foster new methods to scale preparing information, including however not restricted to increase and engineered information age.
• Set up information and assessment pipelines for different modalities (e.g., sensors, language, sound, and so on.). Tutor junior specialists and lead research endeavors across various groups.
• Convey models for inner testing, trial and error, and show for certifiable use cases and distribute research brings about scholastic meeting and diary.
• Lead the group in fact and add to in general technique. Oversee individual task needs, cutoff times, and expectations, adjusting to changes and misfortunes.

Skills

AI research

Transformers

Leadership

Cross-functional teams

C/C++

Java

Python

NLP

Computer vision

ML systems

Transfer learning

Education

Bachelor's degree

Job description

Google's researchers seek to push the boundaries of large language models and multimodal AI. This role leads a team to design, train, and evaluate LLMs, coordinating across disciplines to convert research into practical, scalable solutions.

You will mentor scientists, collaborate with teams across Google Research, and drive projects that advance AI methods while delivering measurable impact in real-world applications.