Senior ML Engineer at Adobe

San Jose, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Completed a degree in Computer Science, Machine Learning, or a related field
5+ years of experience in machine learning engineering roles
Strong software engineering skills, including version control, code review, and CI/CD practices
Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Sagemaker
Experience in developing and deploying ML models in production environments
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for ML deployment
Strong understanding of data structures, algorithms, and system development
Strong leadership and team-building skills
Excellent communication and presentation skills
Familiarity with Generative AI technologies and applications (advantageous)
Familiarity with Retrieval-Augmented Generation (RAG) and other contemporary NLP methods (advantageous)
Experience with MLOps practices and tools (advantageous)
Background in Recommendation Systems (advantageous)

Responsibilities

Contribute to the backend services supporting ML and Generative-AI functionalities
Build, develop, implement, and evaluate machine learning models using classical and deep learning approaches, as well as GenAI
Collaborate with cross-functional teams to integrate ML solutions into existing products and services
Analyze and improve efficiency, accuracy, scalability, and stability of AI-enabled workflows
Stay current with the latest advancements in ML and AI technologies
Guide and support junior team members to aid in the overall development of the ML team

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningGenerative AIBackend ServicesData PipelinesModel EvaluationProduction DeploymentPrototyping

Questions & Answers

Common questions about this position

What qualifications are required for the Senior ML Engineer role?

Candidates need a degree in Computer Science, Machine Learning, or a related field, plus 5+ years of experience in machine learning engineering roles, strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn, and experience deploying ML models in production.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

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

The atmosphere is dynamic, fast-paced, creative, collaborative, and data-centric, with a commitment to exceptional employee experiences, respect, equal opportunity, and hiring the very best.

What makes a strong candidate for this Senior ML Engineer role?

Strong candidates have production ML deployment experience, familiarity with cloud platforms like AWS, GCP, or Azure, leadership skills, and advantageous knowledge in Generative AI, RAG, MLOps, or Recommendation Systems.

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