Data Science Engineer for AI Innovations

4 days ago


San Francisco, California, United States Adobe Full time

At Adobe, we're pushing the boundaries of digital experiences and creating innovative solutions that empower artists and businesses alike. As a seasoned Data Science Engineer, you'll play a pivotal role in shaping our cutting-edge AI initiatives.

About the Role

This is an exceptional opportunity to work on large-scale data science projects, leveraging your expertise in machine learning, statistical modeling, and data analytics. You'll collaborate with cross-functional teams to design, develop, and deploy predictive models that drive business value and improve customer experiences.

Our ideal candidate has a strong foundation in machine learning, experience with deep learning frameworks like TensorFlow or PyTorch, and proficiency in programming languages such as Python, Java, or Scala. A solid understanding of data structures, algorithms, and distributed computing concepts is also essential.

We're looking for a self-motivated individual who can lead investigations, work autonomously, and think strategically about the future of AI at Adobe. If you're passionate about harnessing the power of data science to create innovative solutions, we'd love to hear from you

Key Responsibilities:
  • Develop and train predictive models using large-scale datasets
  • Collaborate with Product Management to bring AI-based Assistive experiences to life
  • Work closely with other data scientists and software engineers to design, test, and build production-ready ML models
  • Leverage statistical modeling, machine learning, and data analytics techniques to drive business insights
About Adobe

Adobe is a leader in digital experiences, empowering creatives and businesses to succeed in a rapidly changing world. We're committed to fostering a culture of innovation, diversity, and inclusion, where everyone has access to equal opportunities.

We estimate the salary for this position to be around $140,000 - $160,000 per year, based on industry standards and location. This figure may vary depending on factors such as experience, qualifications, and performance.



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