Applied Scientist 4
3 days ago
Job Duties: 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 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 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. Leading contributor providing guidance and mentorship to define, design, and deliver product quality improvements from ideation stage to shipping to the customer. Write high-quality code to power experiments and build models. Contribute to writing production model code. Work closely with product management and engineering to deliver products that solve the needs of our customers by building relevant, innovative results which strategically differentiate Oracle in the market. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Work on training data collection, feature engineering, model training, offline and online experimentation. Drive independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned. May telecommute.
Minimum Requirements:
Employer will accept a Master’s degree in Computer Science, Engineering, or related technical field and 5 years of experience in the job offered or in an applied scientist-related occupation. Position requires:
- ML fundamentals – supervised vs. unsupervised modeling, time series, highly unbalanced and noisy data sets, and complex feature engineering;
- Recommendation systems, using and optimizing gradient boosting models;
- NLP (Natural Language Processing);
- Unstructured data;
- Large Language Models (LLMs);
- Putting ML models in production – deployed via Cloud Environments;
- Multimodal experience – image and video.
Career Level - IC4
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