Machine Learning Engineer
- Adobe
- 10 - 15 years
- Bengaluru
- 6 months ago
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Job Description
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.
- 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
- Monitor and evaluate the performance of ML models, making vital adjustments to compete at the highest level
- 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
- About 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.
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Adobe aims to make Adobe.com accessible to any and all users.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: AdobeLocation(s): Bengaluru+ View Contact
Keyskills: Computer science Digital media CTV Time series analysis Machine learning Cloud Programming Adobe Statistics Python
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