Adobe

Machine Learning Engineer

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Software, Advertising Technology, Digital MediaIndustries

Machine Learning Engineer - Spend Optimizer

Employment Type: Full time

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Adobe Advertising Cloud

Adobe Advertising is a combination of a ‘Demand Side Platform (DSP)’ and a ‘Spend Optimizer’ that helps customers plan, buy, measure, and optimize their digital media (across CTV, Online Video, Display, Search, Social, and Retail Media Networks). We help the largest global advertisers maximize the impact of their paid media budgets by delivering connected and personalized experiences to their consumers.

The Opportunity

This opportunity is with the Spend Optimizer group. In collaboration with a team of highly motivated data scientists and engineers, you will apply reinforcement learning, time series analysis, bayesian modeling, Gen AI frameworks to optimize ad spends and drive the best user experiences.

What you'll Do

  • Technically lead and guide a 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.
  • Monitor and evaluate the performance of ML models, making vital adjustments to compete at the highest level.

What you need to succeed

  • 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 and statistics, including Bayesian Modeling, Time Series Analysis, Reinforcement Learning, and Optimization.
  • 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.

Ideal Candidate Profile

  • Approximately 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 is desirable.
  • Comfort with ambiguity, adaptability to evolving priorities, and an ability to influence technical and non-technical collaborators.
  • A very strong problem-solving and execution ability, ability to innovate, and focus on delivering value to Adobe customers can compensate for any of the above requirements.

Company Information

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Skills

Machine Learning
Reinforcement Learning
Time Series Analysis
Bayesian Modeling
Gen AI
Algorithm Design
Model Deployment
MLOps

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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