Computer Scientist-II

2 months ago

Bangalore, India Adobe Full time

JOB LEVEL

P40

EMPLOYEE ROLE

Individual Contributor

The Challenge: 

As part of the Machine Learning and Optimization team in the Adobe Advertising Cloud, you will be working on cutting edge research to help advertisers maximize revenue and increase brand awareness on Adobeâs DSP (Demand Side Platform) with 100s billions of auctions per day. You will help build the next generation of predictive models and optimization algorithms that power the RTB (real time bidding) platform that are used by hundreds of clients across the world in a fast paced environment. 

 

What will you do:  

·         Develop classifiers, predictive models and multi variateâ¯optimization algorithms on large-scale datasets using advanced statistical modeling, machine learning and data mining. 

·         Design and implement scalable models that can work with large-scale datasets (100s billions of records) in production systems 

·         Ability to articulate the design and implementation choices to cross functionalâ¯teamsâ¯â¯Â 

·         R&D will revolve around a fewâ¯key focus areas such as predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning problems and Forecasting. 

 

What you require: 
·   5-10yrs. of Total experience with relevant experience of 5yrs. as Data Engineer(primary), as ML engineer(secondary).

·         Solid foundation in machine learning, NLP, classifiers, statistical modeling and multivariate optimization techniques 

·         Experience with control systems, reinforcement learning problems, contextual bandit algos. 

·         Experience with DNN frameworks like TensorFlow or PyTorch on large scale data sets.â¯Â 

·         TensorFlow, R, scikit, pandas 

·         Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark 

·         Good to haveâ¯-â¯Git, Bazel,â¯Docker, Kubernetes 

·         Generalâ¯understanding of data structures, algorithms, multi-threaded programming and distributed computing concepts 

·         Ability to be a self starter and work closely with other data scientists and software engineers to design, test and build production ready ML and optimization models and distributed algorithms running on large scale data sets 

·         Strong analytical, quantitative problem solving, and communication skills 

·         Proven ability to work well in a high performing team with agile development approaches and technology 

 

Ideal Candidate Profile: 

·         PHD (with 3+years experience) or Masters (with 5+ years experience) in Computer Science/Electrical Engineering/Statistics or relevant field 

·         Experience with Real Time Bidding / Ad Tech background preferred 

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. Weâre glad that youâre pursuing a new opportunity at Adobe

Put your best foot forward:

1. Update your Resume/CV and Workday profile â donât forget to include your uniquely âAdobeâ experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles youâre interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll. 

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If youâre looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of  gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact accommodations@adobe.com.

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