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

At Adobe Firefly we build foundation generative models for image, video, and other modalities which power the suite of products at Adobe. This work is powered by a platform comprised of data, training, and inference infrastructures.

We are looking for a world-class senior ML engineering manager to lead the data infrastructure development of this platform. You will lead the architecture, design, development, and testing of the infrastructure with the goal of bolstering the efforts on data ingestion, storage, enrichment, and availability. This is a highly cross-functional role where you will closely work with the training platform, inference platform, Adobe Research, Applied Research, and Adobe Stock teams, among others.

Responsibilities:

Lead projects to build scalable next-gen ML data infrastructure systems.

Collaborate cross-functionally with Research and Applied Research teams as well as ML training and deployment teams.

Grow, develop, and scale the team.

Provide technical leadership to team members.

Requirements:

A deep understanding of AI/ML, including ML frameworks, public cloud and commercial AI/ML solutions.

Experience in building and scaling distributed systems, and experience with containerization and orchestration technologies (Kubernetes, EKS).

Strong communication and collaboration skills – building strong relationships with internal stakeholders and external partners.

A track record of attracting talent and leading high-performance teams to deliver results in a fast-paced and dynamic environment of AI infrastructure.

Experience managing very senior engineers and/or senior managers.

Strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions.

A passion for staying up to date with the state of the art in Generative AI for Computer Vision and cutting-edge technologies in AI/ML.

A master’s or a doctorate degree in Computer Science, Electrical Engineering, or a related field, or equivalent industry experience.

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 $160,200 — $322,300 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.

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.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 applicable characteristics protected by law.

Adobe aims to make Adobe.com 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 or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.

Company:
Adobe

Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)

Tagged as: Industry , Machine Learning , NLP , United States

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Overview: <h5>Working at Atlassian </h5>Atlassians can choose where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. This is a remote position. To help our teams work together effectively, this role requires you to be located in the west coast of the United States. <h5>Your future team </h5>Were looking for a senior machine learning engineering manager to join our Central AI team and lead a group of talented engineers who are responsible for creating and deploying state-of-the-art machine learning models and algorithms. You will report directly to the head of engineering and work closely with the Central AI leadership team to define and execute the vision and strategy for AI modeling training and evaluation, as well as the cutting edge machine learning algorithms development. You will also collaborate with the AI platform team, federated product teams, and other stakeholders to provide the modeling, framework, and prompt engineering support for the federated product teams to accelerate the AI feature development across the board. Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $229,300 - $305,700 Zone B: $206,300 - $275,100 Zone C: $190,300 - $253,700 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.Responsibilities: <h5>What you'll do </h5>As the engineering manager, you will need to work with the product manager, AI platform team, federated product teams to: <ul> <li>Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring. </li> </ul><ul> <li>Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our AI models and systems. </li> </ul><ul> <li>Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation. </li> </ul><ul> <li>Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence. </li> </ul><ul> <li>Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders. </li> </ul>Qualifications: <h5>Your background </h5><ul> <li>Master or PhD in a quantitative subject (Computer Science, Operations Research, or relevant work experience) </li> </ul><ul> <li>5+ years of experience managing software engineering teams running core services at scale </li> </ul><ul> <li>Experience building and scaling machine learning models in business applications using large amounts of data </li> </ul><ul> <li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story </li> </ul><ul> <li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" </li> </ul><ul> <li>Agile development mindset, appreciating the benefit of constant iteration and improvement </li> </ul><h5>Our perks & benefits </h5>Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefitsto learn more. <h5>About Atlassian </h5>At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. To learn more about our culture and hiring process, visit go.atlassian.com/crh

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