Machine Learning Engineer at Adobe in San Jose

Job description

• AI-powered Search, Recommendations and Generative AI-based guidance is a core part of Adobe’s Cloud offering. Adobe Cloud enables customers to create and generate digital content, and Digital experiences. The Search, Discovery, and Content AI Team drives customer success for Adobe Express, Creative Cloud, and Document Cloud. Creative professionals and novice users need the quick discovery of digital assets from brushes to colors, images, videos, and beyond. They also need AI-powered assistance to discover the ingredients needed to complete their creative journey at scale.
• We are building a new search, recommendations, and content understanding platform that powers suits of Adobe product lines. Our platform caters to millions of users and billions of entities. Become part of this growing team at Adobe and have an excellent impact by providing AI-powered search, recommendations, and gen AI-based assistance across the creative suites of products at Adobe. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in a great company.

Responsibilities

• Build novel machine learning models using deep learning, reinforcement learning, content understanding, language understanding, and more by developing pioneering machine learning algorithms for Search&Discovery team.
• Apply machine learning/reinforcement learning to improve content understanding, computer vision, deep learning, language understanding and
• content ranking & recommendations.
• Build machine learning offerings to enable lifecycle of billions of images, documents and other assets in Adobe Cloud.
• Build machine learning services to host AI/ML models using technologies such as REST web services, micro- services, machine learning frameworks, Pytorch, Tensorflow, and LLMs

Requirements

• MS/PhD (preferred) in Computer Science, Machine Learning or equivalent field
• Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
• Proficient in one or more programming languages such as Python, Java and C
• Familiar with one or more machine learning or statistical modeling tools such as PyTorch, SGLang, Verl and scikit learn
• Strong analytical and quantitative problem-solving ability.
• Excellent communication, relationship skills and a great teammate

Skills

Required

• Python
• Java
• C
• PyTorch
• SGLang
• Verl
• scikit learn
• REST web services
• micro-services
• machine learning frameworks
• Tensorflow
• LLMs

Benefits

• 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 $125,600 - $234,150 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.
• In California, the pay range for this position is $161,700 - $234,150
• At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
• In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.