Machine Learning Engineer at Adobe

San Jose, California, United States

Apply Now

Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

SoftwareIndustries

Requirements

Master’s or Ph.D. in Computer Science, AI/ML, or related fields
Strong coding skills in Python and experience with ML data toolchains (e.g., PyTorch, TensorFlow, Ray, Spark)
Experience with data pipeline design, distributed systems, or ML infrastructure
Familiarity with containerized and cloud-based environments (e.g., Kubernetes, AWS, GCP)
Excellent problem-solving and collaboration skills with a focus on delivering high-quality, maintainable systems
Eagerness to learn, iterate quickly, and bridge research and production workflows in an applied ML environment

Responsibilities

Build scalable data pipelines: Design, implement, and maintain data ingestion, preprocessing, and transformation workflows for multimodal datasets (image, text, and structured signals) that support large-scale training and fine-tuning
Optimize performance and throughput: Improve pipeline efficiency and scalability using distributed data systems (e.g., PyTorch DataPipes, Ray, Spark) and cloud infrastructure (Kubernetes, GPUs, object storage)
Enable reliability and traceability: Implement validation, monitoring, and versioning systems to ensure data quality, correctness, and reproducibility across research and production environments
Collaborate across teams: Partner with applied scientists and infra engineers to translate evolving data and model requirements into robust, production-ready systems
Accelerate iteration: Develop modular, reusable components that shorten experiment cycles and improve data accessibility for training and evaluation

Skills

Machine Learning

Data Pipelines

Data Infrastructure

Generative AI

Software Engineering

Scalability

Data Preprocessing

Data Transformation

Multimodal Datasets

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.

Land your dream remote job 3x faster with AI

Try Jobo Free