Senior Machine Learning Engineer
AdobeAbout the role
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!
You will collaborate with Adobe Research and other business units to craft products focused with AI at core. The team is comprised of engineers and scientists working in a data-driven environment.
The Decision Sciences team develops AI/ML-powered solutions for Adobe’s Digital Experience products, focusing on personalization and operational efficiency for customers.
What you'll Do
- Lead engineers in the team and collaborate with product managers to craft, develop, and implement machine learning models and systems that address complex business challenges.
- Architect and optimize end-to-end ML pipelines, ensuring scalability, efficiency, and robustness.
- Facilitate alignment among senior leadership on innovative ideas and central initiatives.
- Engage with different teams to incorporate ML algorithms into Adobe products, influencing product strategy and architecture.
- Conduct detailed testing, debugging, and performance tuning of ML models and systems.
- Mentor and guide junior team members, sharing knowledge and standard methodologies to foster a culture of continuous learning and innovation.
- Publish technical papers, contribute to open-source projects, and represent Adobe at industry conferences and forums.
- Provide technical leadership and expertise, driving the adoption of new technologies and standards within the organization.
The ideal candidate will have the following background:
- Bachelor's or advanced degree with 8+ years experience, or PhD with 5+ years experience in developing, evaluating, and deploying ML models in production.
- Deep expertise in machine learning, statistical modeling, and data analysis techniques.
- Proven track record of developing and deploying ML models in production environments.
- Strong programming skills in languages such as Python, Java, or C++, and experience with ML frameworks like scikit-learn, SparkML, TensorFlow, PyTorch, or similar.
- Excellent problem-solving skills and the ability to tackle complex technical challenges.
- Strong communication and collaboration skills, with the ability to influence and encourage multi-functional teams.
- Experience in mentoring and guiding junior engineers, encouraging a collaborative and innovative team environment.
- A passion for continuous learning and staying ahead of the latest advancements in machine learning and related technologies.
- Experience working with both research and product teams.
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 accommodations@adobe.com 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.
#AEPGENAIOur compensation reflects the cost of labor across several U.S. geographic markets, and we pay di
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