Machine Learning Engineer

Machine Learning Engineer page is loaded Machine Learning Engineer Apply locations San Jose time type Full time posted on Posted 4 Days Ago job requisition id R132989 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 Adobe is looking for a Machine Learning Engineer who has an expertise in software engineering and machine learning. In this role, you will partner with the business units to build and scale data products that address challenging business problems for Adobe’s enterprise customers. Research, develop, and deploy large-scale machine learning solutions for business. What you’ll Do Work closely with data scientists, engineers, researchers, and product managers to build AI/ML solutions and Experimentation on Adobe Experience PlatformEngage with customers to understand and anticipate how machine learning can solve their business problemsWork across organizational boundaries to align on priorities and drive projects forwardPromote accomplishments across the organization, blogs, and conferences What you need to succeed Ph.D. or M.S. degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or related fields. Proficient in one or more programming languages such as Python, Java, or Scala. In-depth knowledge of machine learning algorithms and their applications to business problems.Proven ability in building, deploying, measuring, and maintaining machine learning models Proven ability in building large-scale distributed ML pipelines. Experience with scikit-learn, pandas, ml-lib.Preferred QualificationsProven track record of delivering business solutions or production software.Experience with Apache Spark, CosmosDB, Cassandra or similar.Familiarity with a Deep Learning framework such as TensorFlow or PyTorch. 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 positionis $116,800 — $213,900 annually. Paywithin this range varies by work locationand 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. About Us At Adobe, you will be immersed in an exceptional work environment that is recognized around the world . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In  approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe’s the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog  and explore the meaningful benefits  we offer.There’s more than meets the eye when it comes to Adobe. Take the quiz and see how well you know us! Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other 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, please contact accomodations@adobe.com .