Staff Applied Scientist

AdobeSan Jose, CA
4d$164,000 - $313,300

About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. There's more than meets the eye when it comes to Adobe. Take the quiz and see how well you know us! Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call (408) 536-3015.

Requirements

  • A PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics, or related fields.
  • Strong expertise in statistical modeling, machine learning, deep learning, or data mining concepts, supported by a history of effectively resolving issues through these approaches.
  • Proficiency in one or more programming languages such as Python, Java, Scala, and C.
  • Familiarity with machine learning or statistical modeling tools such as R, scikit-learn, and Spark MLlib.
  • Hands-on experience with LLM frameworks and GenAI application development.
  • Understanding of prompt engineering, model fine-tuning, and evaluation techniques for LLMs.
  • Strong analytical and quantitative problem-solving skills.
  • Excellent communication and relationship skills, and a strong team-player attitude.

Nice To Haves

  • Experience with big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark).
  • 4+ years of experience in machine learning, data mining, information retrieval, or statistical analysis.
  • Knowledge of cloud platforms (such as AWS or Azure) and experience developing applications on these platforms using various cloud services.
  • Experience with Econometric models.
  • Experience deploying LLM-based solutions in production environments, including optimization for latency and cost.

Responsibilities

  • Identify business needs and transform them into statistical problems.
  • Collect and cleanse large amounts of real-world customer usage and commerce data in various product environments.
  • Build predictive models from extensive datasets to solve business problems using sophisticated statistical analysis, machine learning, or data mining methods.
  • Deliver informative and effective findings, results, and recommendations from machine learning models to collaborators, and build dashboards of key statistics and metrics.
  • Leverage Large Language Models (LLMs) and develop AI Agents/Tools to enhance Adobe's business.
  • Integrate LLM-based solutions into Adobe workflows, ensuring scalability, performance, and compliance.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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