Applied Scientist 4

OraclePleasanton, CA
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. Position requires: 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; and Optimization and scaling of ML solutions for real world business use cases. Qualifications Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • 3 years of experience in the job offered or in an applied scientist-related position
  • 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.

Benefits

  • Medical, dental, and vision insurance, including expert medical opinion
  • Short term disability and long term disability
  • Life insurance and AD&D
  • Supplemental life insurance (Employee/Spouse/Child)
  • Health care and dependent care Flexible Spending Accounts
  • Pre-tax commuter and parking benefits
  • 401(k) Savings and Investment Plan with company match
  • Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
  • 11 paid holidays
  • Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal
  • Voluntary benefits including auto, homeowner and pet insurance

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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