Sr. Machine Learning Engineer

3 months ago

Edinburgh, United Kingdom Adobe Full time

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 a Machine Learning Engineer from mid to senior level to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize how we develop our world class applications. Partnering with Adobe development teams across the company, the successful candidate will be building models that allow us to both understand and improve the very nature of software development

What you'll Do  

Partner with development teams across the company to collate appropriate datasets

Design and build applications powered by generative AI, that allow us to mine insights from these datasets that improve the overall engineering culture across the company.

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 withexperience in developing,evaluating ML models, and deploying models into production.

Deep understanding of statistical modelling, 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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