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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!
Adobe's Applied Science and Machine Learning team is looking for a Software Engineer to develop evaluation systems for the latest generative models. Evaluation science is a dynamic group of engineers and researchers with expertise spanning Software Engineering, web development, machine learning, and human-computer interaction. You will have an opportunity to work with the latest AI-supported tools and conceptualize approaches to understand how to make them easier and safer to use for creative professionals and everyday users alike.
An ideal candidate is a Python expert with 3+ years of work experience. You will work closely with machine learning engineers, researchers, and product managers to develop end-to-end systems for evaluating Adobe Firefly, Adobe's suite of generative models.
Main responsibilities:
Design core Python modules that interact with state-of-the-art generative models.
Curate large-scale datasets for model evaluation.
Create data visualization applications to support image evaluation and drive business decision-making.
Analyze and improve the efficiency and scalability of the model evaluation systems.
Minimum requirements
Expertise in Python.
Experience with building and interfacing with REST APIs.
Experience with data visualization technologies, such as Streamlit, d3.js, vega (lite).
Experience working with CI/CD pipeline.
Experience with database systems.
Some experience with Splunk, New Relic
A successful teammate will also meet the following criteria:
Active participation in design and architecture discussions
Excellent communication and collaboration skills
Ability to work independently and take initiatives.
Familiarity with public cloud technologies such as AWS EC2, S3, and RDS
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 $124,000 -- $234,200 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.
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.
Adobe is proud to be an and 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.
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 or call (408) 536-3015.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
