Machine Learning Engineer / Applied Scientist

Adobe is seeking talented Machine Learning Engineers to join their team in San Jose, focusing on Generative AI and Machine Learning techniques. This role offers an exciting opportunity to work at the forefront of AI technology, helping Adobe better understand, lead, and optimize the experience of Adobe's Digital Experience customers.

The position involves close collaboration with Adobe Research and other business units to build transformative products that revolutionize how companies approach audience creation, journey optimization, and personalization at scale. You'll be joining a diverse, established team of engineers and scientists in a dynamic, fast-paced environment where creativity and data-driven decision-making are valued.

As a Machine Learning Engineer, you'll be instrumental in developing cutting-edge models and building applications powered by generative AI. Your work will span traditional engineering challenges like API design and cloud service deployment, while also implementing best practices in ML and LLM operations. The role requires a blend of technical expertise and leadership skills, as you'll be providing guidance on architectural decisions and technology choices.

The ideal candidate brings a strong academic background in Computer Science or Data Science, coupled with significant industry experience. You should be proficient in programming languages like Python and Java, and have deep expertise in machine learning frameworks. Experience with LLMs and prompt engineering is essential, as is the ability to work effectively with both research and product teams.

Adobe offers a competitive compensation package reflecting the cost of labor across U.S. geographic markets, along with potential eligibility for long-term incentives and annual bonuses. The company is committed to creating an inclusive environment where diversity is valued and equal opportunities are provided to all employees.