Machine Learning Manager

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!

About Adobe

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 are passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

Our mission is to hire the best and create exceptional employee experiences, respecting everyone and ensuring equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Position Summary

The Bucharest Express AI Pillar engineering team seeks an experienced ML Engineering Manager to lead the AI foundations development. Your role will involve leading the development of Machine Learning features, infrastructure and foundation. You will also be responsible for managing the model hosting, delivery infrastructure, and ethical dataset creation. You will have high visibility and responsibility within Adobe worldwide, working together with researchers and team members from around US and I

 
What you’ll do:

• Lead and manage a team of up to 10 people;
• Guide team through research, technical design, implementation, delivery, and maintenance of the application.
• Influence design decisions and technical direction for engineers, researchers, product managers and senior leaders.
• Ensure transparency of project status to partners
• Lead each team member’s performance, employing ongoing performance feedback and coaching. Develop and evolve engineering processes and collaboration models to optimize team efficiency.
• Hire and manage a team of exceptional engineers and machine learning scientists, overseeing implementation and research processes.
• Create a team culture that emphasizes excellence in engineering and applied research. Encourage deep customer engagement and out of the box thinking.
• Work closely with teams and managers across Adobe, in different geographies. The technology you produce will have visibility at the highest levels of the company and materially affect the positive impact products have on our customers.

Requirements

• BS or MS in Computer Science or a related field. Knowledge and/or experience building machine learning applications are a big plus.
• 5+ years of experience as an engineering manager, leading teams that built complex applications. Ability to balance the advantages of each approach in practice.
• 7+ years of experience as on the ML field with consistent and state-of-the-art results
• Experience in building and leading teams with multiple ML engineers and researchers.
• Demonstrated ability to build a diverse team of top engineers and ML researchers in a competitive job market.
• Strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions.
• Strong working knowledge of modern software development and research methodologies and software design patterns.
• Outstanding ability to communicate technical concepts effectively to partner teams.
• Strong customer empathy and demonstrated engagement with customers and partners to truly delight users.
• Knowing the sweet spot between “getting it done” and building a sustainable product.
• Passion and a love of what you do!

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. Learn more.
 

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