Sr. Machine Learning Engineer - Acrobat at Adobe

San Jose, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

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 LearningAIML-OpsPredictive ModelsGenerative ModelsAutonomous AgentsAgentic Frameworks

Questions & Answers

Common questions about this position

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

The U.S. pay range for this position is $162,000 -- $301,200 annually, with pay varying by work location and defined geographic markets.

Is this a remote position, or is there an office requirement?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 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, and ML frameworks like scikit-learn, SparkML, TensorFlow, or PyTorch, plus experience building large-scale data pipelines and working with research and product teams.

What is the team and work environment like at Adobe for this role?

You'll join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space, in a dynamic, fast-paced, creative, and data-driven environment.

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

A strong candidate has an advanced degree in a relevant field with proven ML experience, deep knowledge of statistical modeling, experience with large-scale data pipelines and ML frameworks, and excellent problem-solving, communication, and relationship-building skills to thrive in a fast-paced team.

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