Generative AI/Machine Learning Engineer and Data Scientist

$250,900 - $250,900/Yr

Adobe - San Jose, CA

Full-time

San Jose, CA

Publishing Industries

About the position

Adobe is seeking a highly skilled Generative AI Engineer and Data Scientist to join its AI/ML/DS team. This role focuses on integrating advanced Generative AI technologies into marketing products and practices, requiring a deep understanding of machine learning techniques and marketing performance metrics. The successful candidate will be responsible for developing, fine-tuning, and deploying large language models, as well as collaborating with cross-functional teams to address AI-related challenges.

Responsibilities

• Develop, fine-tune, and deploy large language models for various applications.
• Manipulate and build models (traditional ML and generative AI) to extract insights from large data sets.
• Design and implement prompt engineering strategies to optimize model performance.
• Utilize Retrieval-Augmented Generation (RAG) and related techniques to enhance model output.
• Integrate generative AI innovations into marketing products to improve performance and engagement.
• Analyze and interpret marketing performance metrics to inform AI model adjustments.
• Collaborate with cross-functional teams to identify and address AI-related challenges.
• Stay updated with the latest trends and advancements in Generative AI and machine learning.
• Adapt generative AI models for diverse machine learning tasks and applications.
• Demonstrate the latest innovations in generative AI to stakeholders.

Requirements

• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field.
• 6+ years of experience in machine learning and data science, with at least 2 years of experience working with Generative AI models.
• Proven experience with Large Language Models (e.g. GPT, BERT) and prompt engineering.
• Proficiency in Python, SQL, and ML frameworks like PyTorch and TensorFlow.
• Ability to quickly generate working code with a Generative AI coding copilot.
• Expertise in fine-tuning and deploying AI models in production environments.
• Strong knowledge of Retrieval-Augmented Generation (RAG) and related techniques.
• Familiarity with marketing performance metrics and their application in AI models.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication skills and the ability to present results to non-technical stakeholders.
• Ability to suggest new projects and make a case for their benefits to our business.

Nice-to-haves

• Experience with cloud platforms (e.g. Azure, AWS, Google Cloud) for model deployment.
• Experience with Databricks.
• Experience with DevOps tools like Git and Docker.
• Familiarity with both B2C and B2B marketing.

Benefits

• Competitive salary range of $135,200 -- $250,900 annually based on location and experience.
• Short-term incentives in the form of the Annual Incentive Plan (AIP).
• Potential eligibility for long-term incentives in the form of a new hire equity award.