Senior Data Scientist for AI Innovation

3 weeks ago

San Francisco, California, United States Adobe Full time

About Us

At Adobe, we're dedicated to creating digital experiences that transform the way people interact with companies across every screen. Our mission is to empower individuals and organizations to design, deliver, and optimize exceptional digital experiences.

We're passionate about pushing the boundaries of what's possible with AI and machine learning, and we're committed to doing it in a way that supports artists and creators. That's where you come in – as a senior data scientist for our AI innovation team.

The Role

We're looking for a seasoned data scientist with a strong background in machine learning and statistics to join our team. As a senior data scientist, you'll be responsible for developing predictive models for media intelligence, collaborating with product management to bring AI-based assistive experiences to life, and championing scientific processes within the team.

You'll work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets. Your expertise will help us drive all aspects of ML product development, from ML modeling to quality evaluations and productization.

Your Key Responsibilities

  • Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using sophisticated statistical modeling, machine learning, and data analytics.
  • Collaborate with Product Management to bring AI-based Assistive experiences to life.
  • Champion scientific processes and encourages deep engagement with our customers.
  • Handle project scope and risks with data, analytics, and creative problem-solving.

What You'll Need

  • Solid foundation in machine learning, classifiers, statistical modeling, and multivariate optimization techniques.
  • Experience with control systems, reinforcement learning problems.
  • Proven experience with DNN frameworks like TensorFlow or PyTorch on large-scale production-grade ML solutions.
  • Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark.
  • Good to have - Git, Bazel, Docker, Kubernetes.
  • General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts.

Ideal Candidate Profile

  • Demonstrated ability, with 5+ years of experience, in hands-on technical roles involving Data Science, Machine Learning, or Statistics.
  • PhD or MS Eng in Computer Science / Statistics / equivalent field.
  • Experience with Computer Vision.
  • Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead investigations while working autonomously.

Total Target Compensation: $124,000 -- $234,200 annually

We aim to create a workplace that is welcoming and inclusive to everyone. Adobe values diversity and equality in the workplace and is an affirmative action 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.

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