Sr Manager, Machine Learning Engineering, Firefly Services job opportunity at Adobe.

Home Jobs In United States Of America Tag: Machine Learning Engineering, Firefly Services Sr Manager, Machine Learning Engineering, Firefly Services position at Adobe


DatePosted 12 Days Ago bot
Adobe Sr Manager, Machine Learning Engineering, Firefly Services
Experience: 8-years
Pattern: full-time
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Machine Learning Engineering, Firefly Services

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loacation San Jose, United States Of America
loacation San Jose....United States Of America

About the team/organization: Adobe Firefly’s GenAI Product Services team builds world-class image and video solutions for enterprise customers and all Adobe Products. We are looking for a senior ML engineering manager to spearhead our growing efforts in building world-class GenAI solutions.In this role, you will lead a high-performing team of ML and service engineers focused on designing, deploying, optimizing and scaling generative models and APIs that power next-generation digital experiences. As a senior leader, you’ll define long-term strategy, shape the technical roadmap, and collaborate across Adobe to accelerate our momentum in the enterprise genAI space. This is a high-impact role at the intersection of ground breaking technology and real-world enterprise value.Job Responsibilities Tech lead projects that delivers critical ML services and APIs to integrate first- and third-party models and pipelines for Enterprise customers Collaborate cross-functionally with PMs, PMMs, TPMs, and other engineering teams to shape the roadmap of Adobe’s Enteprise Gen AI space Act as a technical leader and coach, guiding a team of ML and platform engineers through complex, high-stakes projects. Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe’s GenAI engineering effectiveness and efficiency Review and provide feedback on features, technology, architecture, designs, test strategies, and service reliability standards. Champion innovation by exploring emerging ML and MLOps technologies to boost Adobe’s GenAI effectiveness. What you'll need to succeed MS/PhD in Computer Science, AI/ML, or related fields, or equivalent industry experience. 8+ years of experience in machine learning, including production-scale deployments. 5+ years of engineering leadership experience, with a track record of growing and mentoring high-performing teams. Strong background in generative AI technologies (e.g., GANs, diffusion models, transformers). Proven ability to lead large, cross-functional teams through complex, time-sensitive projects. Excellent communication skills, with a knack for influence and driving alignment in matrix organizations. Preferred experience: Hands-on experience with training, fine-tuning, inference, and optimization of generative models, multi-modality models. Hands-on familiarity with optimizing and converting models across formats #FireflyGenAI 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 $178,900 -- $351,225 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 $242,600 - $351,225
 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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