Sr Manager, Machine Learning Engineering, Firefly Services

San Jose, CA - USA

Yearly Salary: $ 168200 - 340100

Posted on: 6 days ago

Vacancies: 1 Vacancy

Job Summary

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were 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!

About the team/organization: Adobe Fireflys 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 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 youll 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 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 Adobes 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 Adobes 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 Adobes GenAI effectiveness.

What youll 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

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 $$340100 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge skillsand 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-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.

Adobe is proud to be anEqual Employment Opportunityemployer. 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 applicable characteristics protected by law.Learn more.

Adobe aims to make 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 emailor call .

Required Experience:

Manager

Our CompanyChanging the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos...

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 Adobes 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 Adobes 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 Adobes GenAI effectiveness.