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Adobe Inc. Sr Machine Learning Engineer in Seattle, Washington

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 The Adobe Globalization team is looking for a Software Development Engineer with Machine Learning experience who will participate in integrating culturally relevant ML solutions directly into products to delight international customers. As an integral member of this team, you will promote new globalization ML technologies to product teams and participate in various stages of the machine learning pipeline. This role requires a deep technical background and strong leadership and collaboration skills, as you will work closely with other departments to deliver state-of-the-art solutions. Responsibilities Work closely with engineers, researchers, and product managers to implement ML solutions that promote globalization and culturalization. Work across organizational boundaries to align on priorities and drive projects forward. Contribute to designing and developing Machine Learning technologies for text, image, audio, and video, focusing on Generative AI. Collaborate with cross-functional teams, including machine learning engineers, research engineers, and product management, to contribute to new ML features. Engage in the product lifecycle, design, deployment, and production operations. Be comfortable with prompt engineering and building models leveraging large data. Preprocess, clean, organize, and evaluate datasets as needed for model training and evaluation. Evaluate model performance and improve accuracy. Stay up-to-date with the latest machine learning and AI technologies, bringing innovative solutions to the team and advocating for new tools, frameworks, and methodologies. Create and maintain detailed documentation for data processing, model development, testing, and integration ensuring clear communication across teams and stakeholders. What You Need to Succeed BS in Computer Science or equivalent 3-8 years of experience as a Software Development or Machine Learning engineer or equivalent Proficient in multiple programming languages (preferably Typescript/Javascript, Python), web components and ML frameworks. Knowledge and experience with the entire ML training pipeline (data collection, training and evaluation) Good verbal and written communication skills Self-motivated, self-starter, quick learner, independent Preferred qualifications Experience with integrating ML solutions into products Experience in building generative and conversational AI solutions Experience in GenAI (LLMs and Diffusion model) Experience with GPU optimization 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 $142,700 -- $257,600 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-te

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