Senior Machine Learning Engineer job opportunity at Adobe.

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Adobe Senior Machine Learning Engineer
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loacation San Jose, United States Of America
loacation San Jose....United States Of America

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 Senior Machine Learning Engineer to help shape the future of agentic AI in the enterprise. In this role, you will design, build, and scale cutting-edge platforms and products that redefine how enterprises create and optimize customer experiences and marketing campaigns. You wil l play a key role in advancing  AEP Agent Orchestrator —a foundational platform layer that manages and connects Adobe and third-party agents. Y o u will work in a fast-moving, high-impact environment with a team of talent engineers and applied scientists where creativity, collaboration, and data-driven innovation come together to make a real difference.       What you'll do    Design and d evelopment of state-of-the-art agentic AI system and platform powered by generative AI, including working on engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices , delivering high quality, production ready code .    Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.   Partner with researchers and applied scientists on productization o f innovations   Engage in the product lifecycle, design, deployment, and production operations.    What you need to succeed    The ideal candidate will have the following background :    PhD or MS degree in Computer Science or related field required .     5 + years of experience in machine learning, including production-scale deployments   Experience with agile development , and short release cycl es   Good understanding of statistical modeling, machine learning, or analytics concepts; ability to quickly learn new skills and work in a fast-paced team.    Proficient in one or more programming languages such as Python and Java. Familiarity with cloud development on Azure/AWS.   Experience using Relational (MySQL, Postgres) and NoSQL datastores (Redis, ElasticSearch , Snowflake) along with data access patterns and strategies     Experience working with at least one deep learning framework such as TensorFlow or PyTorch .    Experience with LLMs including prompt/context-engineering, modern LLM APIs, fine-tuning models etc.   Experience working with both research and product teams.   Excellent problem-solving and analytic skills    Excellent communication and relationship building skills.      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 - $265,350
 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. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an   Equal Employment Opportunity  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.   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   accommodations@adobe.com  or call (408) 536-3015.

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