Senior Machine Learning Engineer, Data Platform

Senior Machine Learning Engineer, Data Platform

Our Company

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!

The Opportunity
Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.

At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models. This is an opportunity to reach millions of creatives, helping them reinvent the way they work.

What you will do:

• Design, architect and build data insight dashboards and visualizations.
• Provide reports related to large-scale data metrics related but not limited to data coverage, freshness, quality.
• Work closely with data platform engineers and architects to identify requirements in order to improve the flawless operation of the data platform for machine learning and data science needs.
• Lead and operate large-scale ETL pipelines in collaboration with other teams such as data platform engineering etc.
• Write high quality, product level code that is easy to maintain and test following standard methodologies.

What you’ll need to succeed:

• 7+ years of proficiency in Python and SQL
• Expert in one or more data science tools such as Pandas, Numpy, Octave, R
• Experience building data processing machine learning models in a product environment (5+ years)
• Experience with machine learning (ML) frameworks such as Scikit Learn, TensorFlow, Pytorch
• Strong fundamentals in statistics as well as shown skills in data visualizations.
• Hands on experience with high-dimensional, large datasets
• Understanding of concepts in machine learning for data processing (e.g. Anomaly detection, etc.)
• Experience with A/B testing and sampling methods
• B.S., M.S, or Ph.D. in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or a related area

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 $150,700 -- $284,400 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 will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Adobe is proud to be an Equal Employment Opportunity 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. Learn more.

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