What you'll Do- Develop and implement machine learning models and algorithms to solve complex problems
- Collaborate with cross-functional teams to integrate AI capabilities into Adobe's product suite
- Perform research to push forward the state-of-the-art in machine learning and AI
- Analyze and interpret data to drive decision-making and improve product performance
What you need to succeed- Degree or 5 years of experience that is equivalent in practice
- Demonstrated background in machine learning, data science, or a related area
- Strong programming skills in Python, Java, or similar languages
- Ability to work collaboratively in a team environment and communicate effectively
- Preferred qualifications: Advanced degrees or expertise in deep learning frameworks such as TensorFlow or PyTorch
Expected Pay Range:Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $183,300 - $265,350In Washington, the pay range for this position is $165,600 - $239,725
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
