Machine Learning Engineer 4 at Adobe

Bengaluru, Karnataka, India

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

Requirements

  • Outstanding knowledge of machine learning frameworks and tools such as PyTorch, Tensorflow, Scikit-learn, with strong programming skills in Python
  • Solid understanding of core machine learning, statistics and AI, including Bayesian Modeling, Time Series Analysis, Reinforcement Learning, Optimization, Deep Learning, Information Retrieval and RAG, Agentic Systems and LLM use cases
  • Ability to communicate technical outcomes to a non-Data Science audience (plus)
  • Experience in developing, deploying and maintaining ML models in a production environment
  • Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas
  • A total of 10+ years of experience in an applied Machine Learning setting, delivering cloud-scale, data-driven products, and services
  • PhD or Master’s in Computer Science/Applied Math/Statistics/related field
  • Experience and domain expertise in Digital Ad Technologies (desirable)
  • Comfort with ambiguity, adaptability to evolving priorities, and an ability to influence technical and non-technical collaborators
  • Strong problem solving skills, ability to learn fast, extreme design and implementation skills (can compensate for other requirements)

Responsibilities

  • Identify and develop the next generation of experiences for Ad Cloud customers
  • Be hands on with upcoming AI Technology and guide the development of the product roadmap
  • Technically lead and guide team of skilled machine learning engineers to design and implement ML algorithms/models
  • Collaborate with multi-functional teams to determine technical requirements
  • Develop and deploy scalable machine learning solutions that optimize Adobe’s products and services, deliver value to clients and drive customer adoption
  • Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive

Skills

Key technologies and capabilities for this role

Reinforcement LearningTime Series AnalysisBayesian ModelingGenerative AIMachine LearningScalable ML Solutions

Questions & Answers

Common questions about this position

What is the salary for this Machine Learning Engineer position?

This information is not specified in the job description.

Is this Machine Learning Engineer role remote or office-based?

This information is not specified in the job description.

What skills are required for this Machine Learning Engineer role?

Required skills include outstanding knowledge of machine learning frameworks like PyTorch, Tensorflow, and Scikit-learn, strong Python programming, and solid understanding of core ML areas such as Bayesian Modeling, Time Series Analysis, Reinforcement Learning, Optimization, Deep Learning, Information Retrieval, RAG, Agentic Systems, and LLM use cases. Experience in developing, deploying, and maintaining ML models in production is also essential.

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, fostering a collaborative, inclusive, and diverse workplace that embraces different perspectives and ideas, and encourages innovation through research and experimentation.

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

Ideal candidates have 10+ years of experience in applied Machine Learning delivering cloud-scale products, a PhD or Master’s in Computer Science, Applied Math, Statistics or related field, and the ability to technically lead teams while communicating technical outcomes effectively.

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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