Senior Machine Learning Engineer job opportunity at Adobe.



DatePosted Yesterday bot
Adobe Senior Machine Learning Engineer
Experience: 5-years
Pattern: full-time
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loacation San Jose, United States Of America
loacation San Jose....United States Of America

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! 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 $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 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.

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