Machine Learning Engineer
6 days ago
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
Adobe is looking for multiple Machine Learning Engineers from mid to senior level to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize the experience of Adobe's Digital Experience customers. Partnering with Adobe Research and other business units, the candidate will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative, and data-driven.
What you'll Do
- Partner with Adobe Research to develop cutting-edge models
- Design and build applications powered by generative AI, including working on traditional engineering problems such as defining APIs, integrating with UIs, deploying on Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices.
- Engage in the product lifecycle, design, deployment, and production operations.
- Provide technical leadership in everything from architectural design and technology choices to holistic evaluation of ML models.
What you need to succeed
The ideal candidate will have the following background:
- PhD or MS degree in Computer Science, Data Science or related field required.
- 5 to 10 years of applied research experience in software industry/academic research with experience in developing, evaluating ML models, and deploying models into production.
- Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these methods; ability to quickly learn new skills and work in a fast-paced team.
- Proficient in one or more programming languages such as Python, Scala, Java, SQL. Familiarity with cloud development on Azure/AWS.
- Fluent in at least one deep learning framework such as TensorFlow or PyTorch.
- Experience with LLMs and emerging area of prompt-engineering.
- Recognized as a technical leader in related domain.
- Experience working with both research and product teams.
- Excellent problem-solving and analytic skills.
- Excellent communication and relationship building skills.
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