Senior Machine Learning Engineer

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 Stock’s Content Intelligence team is positioned at the center of Adobe’s creative ecosystem. Our mission is to employ machine learning to enhance our comprehension of the creative content that moves through Adobe Stock, Behance, and onto Adobe Firefly. Adobe boasts one of the largest pools of professional creative content worldwide, and content intelligence is pivotal in effectively catering to the world’s creatives. This outstanding opportunity allows you to be part of a world-class team dedicated to pushing the boundaries of machine learning and artificial intelligence to new heights. What You'll Do As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work closely with product and engineering management to align technical requirements and opportunities with product goals. Your role will include: Leading the development and improvement of machine learning models that fuel innovation. Collaborating with cross-functional teams to deliver ambitious projects on time. Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment. Staying current with the latest advancements in ML and AI to ensure our solutions remain at the forefront. What You Need to Succeed 5+ years of industry experience in developing, evaluating, and deploying ML models into production. Strong knowledge of Python and Python-based ML and Data Science frameworks, with proficiency in at least one deep learning framework such as PyTorch or TensorFlow. Proven experience leading major successful initiatives. Experience working with both research and product teams to ensure seamless integration of new technologies. A degree in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field. Join us at Adobe and help compose the future of creative content through the power of machine learning. Together, we'll develop groundbreaking solutions that empower creatives around the world to achieve their ambitious visions! 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 $172,500 -- $306,625 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 $211,800 - $306,625 In Washington, the pay range for this position is $201,000 - $291,150 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 accorda ... (truncated, view full listing at source)