Python ML Engineer
Bengaluru
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!
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 Adobe’s 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 variate 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 functional teams
· R&D will revolve around a few key focus areas such as predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning problems and Forecasting.
What you require:
· 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.
· TensorFlow, R, scikit, pandas
· Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark
· Good to have - Git, Bazel, Docker, Kubernetes
· General 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
Adobe is proud to be an Equal Employment Opportunity and affirmative action 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.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Bazel Computer Science Data Mining Docker Engineering Git Java Kubernetes Machine Learning NLP Pandas PhD Python PyTorch R R&D Reinforcement Learning Research Scala Scikit-learn Spark SQL Statistical modeling Statistics TensorFlow
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Scientist II jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs