Staff Machine Learning Engineer at Adobe

San Jose, California, United States

Adobe Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics, or other related fields
  • 8+ years' experience building ML solutions and ML systems at scale
  • 3+ years’ experience architecting cloud services and infrastructure for large scale use, reliability and performance
  • Deep understanding of generative AI, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods
  • Proficient in one or more programming languages such as Python, Java and C
  • Proven track record of leading complex, high-stakes technical initiatives across teams
  • Strong analytical and quantitative problem-solving ability
  • Excellent communication, relationship skills and a strong team player
  • Preferred Qualifications
  • Experience with big data techniques
  • Experience with building generative AI applications
  • Experience with large-scale datasets and big data techniques

Responsibilities

  • Design, build, and maintain scalable, production-grade ML solutions that can work with large-scale data in production systems
  • Lead architectural design and guide the development of optimized ML pipelines
  • Collaborate with product management and engineering groups to develop new products and features
  • Define technical direction, conduct building reviews, and establish guidelines for reliability, scalability, and maintainability
  • Own and improve CI/CD systems and monitoring pipelines for ML services
  • Mentor engineers across ML and backend fields, encouraging a culture of technical excellence
  • Apply AI and machine learning techniques to big-data problems to help Adobe better understand, manage and optimize the experience of its customers
  • Partner with business stakeholders to develop various ML models and Generative AI applications addressing business problems including product recommendation, user targeting, Agents for workflow optimization and insight generation
  • Design and implement end-to-end ML solutions to tackle business problems
  • Define architectural direction, uphold high engineering standards, and drive the productization of ML solutions

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIBig DataML ModelsProduct RecommendationUser TargetingWorkflow Optimization

Questions & Answers

Common questions about this position

What salary or compensation can I expect for this Staff Machine Learning Engineer role?

This information is not specified in the job description.

Is this Staff Machine Learning Engineer position remote or does it require office work?

This information is not specified in the job description.

What key skills are required for the Staff Machine Learning Engineer role at Adobe?

Ideal candidates need a strong academic background and technical skills in generative AI, machine learning, data mining, and software development. Familiarity with large-scale datasets and big data techniques is a plus.

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, valuing new ideas from everywhere in the organization.

What makes a strong candidate for the Staff Machine Learning Engineer position?

Strong candidates have a strong academic background, hands-on technical leadership in ML, experience designing end-to-end scalable ML solutions, and the ability to mentor peers while collaborating across teams.

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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