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Google; Little Rock (AR); Vor Ort; USD 28.000 - 41.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

AI research

Transformers

Leadership

Cross-functional teams

C/C++

Java

Python

NLP

Computer vision

ML systems

Transfer learning

Ausbildung

Bachelor's degree

Jobbeschreibung

Job Responsibilities

Staff Team Lead Salary: $20-30 Hour Company: Google Location: Little Rock, USA Educational Requirements: Bachelor Degree Full Job Description:

Least capabilities

• Four year certification or comparable commonsense experience.
• 2 years of involvement with programming advancement, and information structures/calculations.
• 2 years of involvement building groups, AI, language-displaying, man-made intelligence calculations, information handling, and unaided AI.

Favored capabilities

• 2 years of involvement with research with consecutive displaying or generative man-made intelligence, profound 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.

About the gig

Google's programmers foster the cutting edge advances that change how billions of clients interface, investigate, and collaborate with data and each other. Our items need to deal with data at enormous scope, and broaden well past web search. We're searching for engineers who bring new thoughts from all areas, including data recovery, appropriated figuring, enormous scope framework configuration, systems administration and information stockpiling, security, man-made reasoning, normal language handling, UI plan and portable; the rundown continues and is developing consistently. As a computer programmer, you will deal with a particular venture basic to research's necessities with chances to switch groups and undertakings as you and our speedy business develop and advance. We really want our architects to be flexible, show administration characteristics and be energetic to take on new issues across the full-stack as we keep on pushing innovation forward. In this job, you will be an establishing part to construct and lead a group to carry out groundwork and execution of Enormous Language Models (LLMs) for customized wellbeing and health, consolidating signals from the computerized and actual world. Google Exploration is building the up and coming age of astute frameworks for all Google items. To accomplish this, we're dealing with projects that use the most recent software engineering strategies created by talented programmers and examination researchers. Google Exploration groups work together intimately with different groups across Google, keeping up with the adaptability and flexibility expected to adjust new undertakings and foci that fulfill the needs of the world's speedy business needs.

Obligations

• 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.