Machine Learning Engineer

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: • 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.

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 $118,500 -- $219,100 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.