Sr. Machine Learning Engineer at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SoftwareIndustries

Requirements

Graduate degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field
5+ years of experience in ML engineering or platform roles, including work with existing scalable platforms (Databricks, Snowflake, etc.)
Strong software engineering skills, including CI/CD, version control, and code reviews
Expert level proficiency in Python and ML frameworks
Experience deploying ML models in production environments and managing MLOps workflows
Familiarity with cloud platforms (Azure preferred) and Databricks
Strong understanding of data structures, algorithms, and system design
Excellent communication skills and a collaborative mentality

Responsibilities

Build and maintain scalable AI data pipelines using Databricks, Spark, and cloud-native tools (e.g., Azure, AWS)
Design and implement backend services and platform components that power ML and Generative AI features across products
Develop and evaluate ML models using classical and deep learning techniques, including GenAI, LLMs, SLMs, and Retrieval-Augmented Generation (RAG)
Apply techniques such as model distillation and fine-tuning to optimize performance and efficiency of AI components
Leverage synthetic data generation and differential privacy to enhance products using customer interactions while preserving ethical AI commitments
Collaborate with product, legal, and policy teams to ensure regulatory compliance
Create reusable templates, frameworks, and documentation to accelerate ML development across teams
Monitor and improve the efficiency, accuracy, and fairness of AI workflows in production
Mentor junior engineers and contribute to a culture of technical excellence and inclusion

Skills

Key technologies and capabilities for this role

Machine LearningML EngineeringSystem DesignML Model EvaluationData PipelinesAI SystemsSoftware Engineering

Questions & Answers

Common questions about this position

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

This information is not specified in the job description.

Is this Senior Machine Learning Engineer role remote or does it require office work?

This information is not specified in the job description.

What key skills are required for the Senior Machine Learning Engineer role?

Key skills include building scalable AI data pipelines using Databricks, Spark, and cloud-native tools like Azure and AWS; developing and evaluating ML models with GenAI, LLMs, SLMs, and RAG; and applying techniques like model distillation, fine-tuning, synthetic data generation, and differential privacy.

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

Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity, with a mission to hire the very best and foster new ideas from everywhere in the organization.

What makes a strong candidate for this Senior Machine Learning Engineer position?

A strong candidate thrives on enabling others by building infrastructure, tools, and data pipelines for ML teams, excels in high-impact projects involving system design, ML model evaluation, ethical AI, and collaboration across teams, and is passionate about shipping innovative ML capabilities.

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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