AI scientist- Foundational Models and Agentic systems
פורסם לפני 30 ימים · 0 מועמדים
התפקיד במילים פשוטות
התפקיד כולל מחקר ופיתוח של יישומי בינה מלאכותית יוצרת (GenAI) ומערכות סוכנים חכמים כחלק מצוות FILM. העבודה היומיומית כוללת ניקוי וניתוח של מאגרי נתונים גדולים, אימון והערכת מודלים, והשתתפות בכל שלבי הפיתוח מהקונספט ועד לפריסה.
- 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
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים לבעלי תואר שני (M.Sc.) במדעי המחשב, מדע הנתונים או תחום כמותי דומה, עם שליטה בפייתון או R והבנה חזקה בסטטיסטיקה ואלגברה ליניארית. הוא פחות מתאים למי שאינו בעל רקע אקדמי מתקדם או למי שמחפש תפקיד פיתוח בכיר.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןOverview
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.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 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