Machine Learning Engineer 3 at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Digital ExperienceIndustries

Requirements

MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production, or PhD degree in Computer Science, Data Science, or a related field
Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods
Experience in building large-scale data pipelines
Ability to quickly learn new skills and work in a fast-paced team
Proficiency in one or more programming languages such as Python, Scala, Java, or SQL
Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch
Experience working with both research and product teams
Excellent problem-solving and analytical skills
Excellent communication and relationship-building skills

Responsibilities

Develop innovative models in collaboration with Adobe Research
Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making
Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows
Engage in the product lifecycle, including architecture, design, deployment, and production operations
Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches

Skills

Key technologies and capabilities for this role

Machine LearningPredictive ModelsGenerative ModelsAutonomous AgentsAgentic FrameworksML-OpsAIData SciencePythonML Workflows

Questions & Answers

Common questions about this position

What is the salary range for this Machine Learning Engineer position?

The U.S. pay range for this position is $120,700 -- $228,600 annually, varying by work location and other factors.

Is this a remote position or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Required qualifications include an MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience or a PhD, proficiency in Python, Scala, Java, or SQL, proficiency in ML frameworks like scikit-learn, SparkML, TensorFlow, or PyTorch, experience building large-scale data pipelines, and excellent problem-solving, analytical, communication, and relationship-building skills.

What is the company culture like at Adobe for this team?

The team is a diverse, collaborative, and lively group of engineers and scientists in the ML space, working in a dynamic, fast-paced, creative, and data-driven environment where everyone is respected with equal opportunity.

What makes a strong candidate for this Machine Learning Engineer role?

Strong candidates have an advanced degree in a relevant field with substantial AI/ML experience including model development and deployment, experience with research and product teams, ability to build large-scale data pipelines, and skills to thrive in a fast-paced environment.

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters

1994Year Founded

$668.9MTotal Funding

IPOCompany Stage

Consumer Software, Enterprise Software, DesignIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.

Open-source alternatives may attract users away from Adobe's subscription model.

Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.

Adobe's subscription model includes special pricing for students, teachers, and businesses.

Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.

Remote work boosts demand for Adobe's cloud-based document management solutions.

AR's popularity in marketing benefits Adobe's 3D and AR tools.

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