Applied Scientist 4

Oracle•Pleasanton, CA

2d•Remote

About The Position

Invent, implement, and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Apply data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develop models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. May telecommute. (385.31916) Employer will accept a Bachelor's degree in Computer Science, Engineering, or related technical field and 3 years of experience in the job offered or in an applied scientist-related position.

Requirements

Programming languages, including Python, Java, and C++
Machine learning techniques, including deep learning, logistic regression
Training machine learning models with large scale data including techniques: data and model parallel methods
Designing data collection and annotation solutions and systematic evaluation
Automated evaluation tools and designing human-in-the-loop techniques
Optimization and scaling of ML solutions for real world business use cases

Responsibilities

Invent, implement, and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems.
Build prototypes and explore conceptually new solutions.
Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.
Apply data science capabilities and research findings to create and implement solutions to scale.
Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.
Develop models, prototypes, and experiments that pave the way for innovative products and services.
Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV).
Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
Conversant on ethical problems in consideration of sciences.