AI scientist- Foundational Models and Agentic systems
Posted 30 days ago · 0 applicants
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The role in plain words
- 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
- 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 referenceOverview
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.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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