Senior ML Applied Research Engineer job opportunity at Adobe.

Home Jobs In United States Of America Tag: Job Senior ML Applied Research Engineer position at Adobe


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Adobe Senior ML Applied Research Engineer
Experience: 4-years
Pattern: full-time
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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 We are the market leader in software products and services for the creative & marketing ecosystem with Creative Cloud, Document Cloud, Express, Firefly and Experience Cloud. Adobe has made industry-leading progress in addressing the enterprise need for new, scalable ways to create ideas and assets with GenAI-infused workflows and products. Adobe Digital Media’s recent launch of GenAI-powered products for enterprises includes Firefly Services (APIs), Firefly Custom Models, Object Composites, Style Kits and unique AI features within flagship products like Adobe Photoshop, Express and Adobe GenStudio. We are looking for an outstanding Applied ML Research Engineer to research, design, develop and deliver high-profile products that span GenAI features and customization of GenAI Firefly models to empower the next generation of enterprise creators and marketers everywhere by turning creative intent into creative success. As an Applied Research Engineer, you will be the bridge between SOTA research, industry, and real-world applications shaping the future of our core Intelligence Layer powering these GenAI features for enterprises around the world. You will be joining a highly collaborative engineering team working closely with internal product teams and strategic partners. You should be able to drive and solve complex AI problems, have a deep empathy for customers, and deliver tangible results in a team-oriented culture. What you'll do Research, train, and deploy SOTA ML models for enterprise use-cases Leverage LLMs to analyze complex data and build advanced knowledge-extraction and insight-generation systems Explore and iterate on emerging LLM techniques to advance the frontier of Context Engineering Build and optimize agentic AI workflows that enable users to dynamically interact and refine outputs from ML systems Develop scalable frameworks to evaluate the accuracy, robustness and usability of complex AI agents Partner closely with product, UX, business development and strategic partners to translate AI innovations into enterprise-grade production features Collaborate with AI Research team to constantly explore and evaluate emerging AI technologies and transform research ideas into interactive prototypes What you need to succeed B.S. or higher in Computer Science, Engineering, Mathematics or a related field 4+ years of hands-on experience building and deploying ML models in production Demonstrated expertise in training, finetuning, optimizing LLMs / large-scale models Proficiency in Python and deep knowledge of leading ML frameworks and libraries Strong passion for AI-driven innovation and a track record of delivering impactful, production-grade AI solutions Excellent analytical and problem-solving skills with the ability to thrive in a fast-paced, collaborative environment 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 $139,000 -- $257,550 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 $177,900 - $257,550
 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 If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. 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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