Machine Learning Engineer 5

$284,400 - $284,400/Yr

Adobe - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Publishing Industries

About the position

Adobe is on a mission to change the world through digital experiences, and we are looking for a Machine Learning Engineer to join our team. This role is pivotal in inventing and delivering functionality for the Adobe Express ecosystem, which aims to radically simplify the creative process for our users. With a legacy of nearly 40 years in design, Adobe continues to empower millions of users to produce compelling digital content at scale using powerful, easy-to-use tools and built-in design intelligence. As a Machine Learning Engineer, you will be at the forefront of our mission to enable creativity for all, conducting innovative research and development at the intersection of Generative AI and Design. In this position, you will design, architect, and build data insight tools and models that enhance design iteration and output through AI. You will be responsible for converting research ideas and papers into code using Python and typical machine learning development toolkits. Collaboration is key, as you will work directly with Design and Product Management teams to iterate on and refine algorithms that power automatic design generation. You will also coordinate with cross-functional teams to conduct evaluation studies with multiple iterations of algorithmic and generative intelligence models, ensuring that our production environment is maintained and troubleshot effectively. Your role will also involve performing code reviews, ensuring code hygiene, triaging bugs, and providing feedback on features, technology, architecture, and designs. You will write automation scripts for testing and for classifying training data for generative model training, while also analyzing and improving the efficiency and scalability of web applications. Embracing modern development practices, testing methodologies, and tooling will be essential to ensure quality and performance throughout all phases of development.

Responsibilities

• Conduct innovative research and development at the intersection of Generative AI and Design.
• Design, architect, and build data insight tools and models for improving design iteration & output with AI.
• Convert research ideas/papers to code in Python and typical machine learning development toolkits.
• Work directly with Design and Product Management to iterate on and refine algorithms that power automatic design generation.
• Coordinate with cross-functional teams to conduct evaluation studies with multiple iterations of algorithmic and generative intelligence models.
• Maintain and troubleshoot the production environment.
• Perform code reviews, code hygiene, bug triages and provide feedback on features, technology, architecture, designs.
• Write automation scripts for testing and for classifying training data for training generative models.
• Analyze and improve the efficiency and scalability of web applications.
• Embrace and extend modern development practices, testing methodologies, and tooling to ensure quality and performance in all phases of development.

Requirements

• Excitement toward building the future of design assistance tools.
• Experience with LLM technologies.
• Experience with machine learning (ML) frameworks such as Scikit Learn, TensorFlow, Pytorch.
• Excellent communication and collaboration skills with teams distributed across the globe.
• A positive attitude toward resolving cross-team challenges and adapting to shifting priorities in a fast-paced dynamic environment.
• Ability to work independently and take initiative.
• Enthusiasm for R&D / prototyping and technical discussion.

Benefits

• Competitive salary based on geographic market.
• Annual Incentive Plan (AIP) for non-sales roles.
• Potential eligibility for long-term incentives in the form of a new hire equity award.