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AI scientist- Foundational Models and Agentic systems

IntuitPetah Tikva, Center District, IsraelNot specifiedFull-timeSeniority: Not specified

Posted 30 days ago · 0 applicants

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The role in plain words

Must-have
  • Master of Science (M.Sc.) in Computer Science, Data Science, Mathematics, Physics, or a related quantitative field
  • Proficiency in Python or R
  • PyTorch
  • TensorFlow
  • Solid understanding of probability, statistics, and linear algebra
Nice-to-have
  • Previous experience in a technology-driven environment
  • Hands-on experience with LLMs, prompt engineering, fine-tuning models, and agentic solutions
  • Knowledge of data pipelines, SQL, and big data processing tools

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Who this suits

Full job description

Original listing · kept for reference

Overview

We are seeking a highly motivated and talented Junior AI Scientist to join our FILM (Foundation Intelligence & Learning Models) team. This role is designed for an early-career professional or a recent graduate who is passionate about driving customer impact, through the frontier of Artificial Intelligence, Generative AI and agentic architecture. As a Junior AI Scientist, you will work closely with senior researchers and engineers to develop, refine, and deploy cutting-edge AI solutions that impact our core technology stack.

Responsibilities

• Assist in the research and development of Generative AI (GenAI) applications and frameworks.

• Clean, analyze, and interpret large datasets to derive actionable insights for model training and evaluation.

• Participate in the full lifecycle of GenAI development, from initial concept to deployment and monitoring.

• Stay up-to-date with the latest advancements in GenAI/ML research and propose innovative ideas to solve complex problems.

Qualifications

• Education: Master of Science (M.Sc.) in Computer Science, Data Science, Mathematics, Physics, or a related quantitative field.

• Technical Skills: Proficiency in programming languages such as Python or R, and experience with ML frameworks (e.g., PyTorch, TensorFlow).

• Foundation: Solid understanding of probability, statistics, and linear algebra.

• Passion: A deep-seated passion for AI, GenAI, and data-driven innovation.

• Advantages:Previous experience in a technology-driven environment.

• Hands-on experience with LLMs, prompt engineering, fine-tuning models, agentic solutions experience. Knowledge of data pipelines, SQL, and big data processing tools.

• Strong communication skills and the ability to work effectively in a collaborative team setting

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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Intuit
Posted 30 days ago · 0 applicants
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