Oracle Restaurants - Machine Learning Engineer

Machine Learning Engineer 

Oracle Restaurants is looking for a machine learning engineer to build data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize machine learning models and algorithms.

Objectives of this Role

• Design and develop machine learning algorithms and deep learning applications and systems
• Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks 
• Collaborate with engineers and system architects on production systems and applications   
• Identify differences in data that could potentially affect model performance in real-world applications
• Ensure algorithms generate accurate recommendations

Career Level - IC4

Responsibilities:

• Build data science prototypes and apply appropriate machine learning algorithms and tools 
• Run machine learning tests and experiments, and document findings and results 
• Train, retrain, and monitor machine learning systems and models as needed 
• Construct optimized data pipelines to feed machine learning models
• Consult with managers to determine and refine machine learning objectives 
• Design and Build automation to identify and resolve system/application alerts for our Cloud Native applications & services
• Identify & fix repetitive issues and identify opportunities for automation.

Required Skills and Experience

• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms 
• Knowledge of machine learning frameworks, like Keras or PyTorch
• Familiarity with data structures, data modeling, and software architecture 
• Strong experience with at least one scripting language such as Ruby, Python, JavaScript, or Bash
• Skilled using monitoring tools such as ELK, Grafana, Prometheus, etc.
• Proficient in CI/CD tools like Jenkins, CircleCI, GitLab CI/CD, GitHub Actions, etc.
• BS in Computer Science, Software Engineering, Computer Engineering, or equivalent experience.

Additional Skills and Experience

• Working knowledge of containers and supporting tools like Docker, Podman, etc.
• Experience operating Redis in production on Kubernetes or similar.
• Prior experience solving automation problems such as deployment orchestration, continuous integration, etc.
• Familiarity working with at least one major cloud platform, such as Oracle Cloud, AWS, Azure, GCP, etc.
• Background working on publicly available, production systems.
• Skill with additional programming languages such as Java, C#, C++, Scala, Go, Clojure, etc.

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

US: Hiring Range: from $97,400 to $199,500 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid