Sr. Machine Learning Engineer 5.5 at Adobe in San Jose, CA

Sr. Machine Learning Engineer 5.5 Location: San Jose The Opportunity Adobe Document Cloud AI & Innovation team is looking for a Senior Machine Learning Engineer. We are the team behind Acrobat AI Assistant and Adobe Liquid Mode which was featured on TIME's Best Invention of 2024 and 2023 respectively! We are looking for someone who will architect and lead key AI and machine learning initiatives to help Adobe deliver state of the art document experiences to its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems related to document viewing, editing, creation, etc. By using machine learning techniques, the candidate will work on the research and development of exciting projects such as Acrobat AI Assistant, PDF Spaces and various other GenAI capabilities for Documents. The ideal candidates will have previous experience shipping products for the last few years, as well as technical skills in machine learning and software development, and leadership experience in driving large and complex machine learning projects to successful completion. In this role your work will have the potential to have a positive impact on the lives of hundreds of millions of people across the world! What You’ll Do Architect complex Generative AI capabilities for comprehending, editing, and creating documents. Develop predictive models trained on large-scale datasets to address various business problems with sophisticated machine learning techniques Develop and implement scalable and efficient ML models that can work with large-scale data in production systems running on mobile devices with limited memory and compute Collaborate with product management and engineering groups to develop new products and features What You Need to Succeed Deep understanding of machine learning, deep learning, and a track record of solving problems with these methods Extensive experience in leading development of and architecting large and complex ML (including GenAI) systems that serve millions of users. Proficient in one or more programming languages such as Python, Java, Objective C or C++ Familiar with machine learning tools such as PyTorch or TensorFlow Strong analytical and quantitative problem-solving ability Excellent leadership, communication, relationship skills and a strong team player PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. 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 protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience. Expected Pay Range: 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 $190,200 -- $345,650 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 $238,700 - $345,650 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.