Oracle · 2 days ago
Lead Applied Scientist - AI Agents
United States
Full-time
Remote
Senior Level
$139K/yr - $292K/yr
7+ years exp
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Responsibilities
Lead ML Model Development: Lead the design and development of advanced machine learning models for detecting anomalies in system logs. This includes selecting appropriate algorithms, designing model architecture, and ensuring robust model training and validation.
Scalable Solution Architecture: Architect and implement scalable machine learning solutions for real-time failure prediction and automated resolution. Ensure that solutions are designed for high availability, fault tolerance, and scalability in a cloud environment.
Model Optimization: Optimize and fine-tune models to enhance recall and precision, ensuring high performance and reliability. Use techniques such as hyperparameter tuning, cross-validation, and performance monitoring to achieve optimal results.
Mentorship & Collaboration: Mentor junior ML engineers, providing guidance on best practices in machine learning, model development, and software engineering. Collaborate closely with data scientists and data engineers to integrate models into production and ensure end-to-end solution effectiveness.
Continuous Learning & Innovation: Stay updated with the latest advancements in machine learning and AI. Incorporate best practices and new methodologies into the development process to maintain a cutting-edge approach.
System Integration: Work closely with DevOps and engineering teams to deploy machine learning models into production environments. Ensure seamless integration with existing systems and workflows.
Documentation & Reporting: Ensure thorough documentation of model development processes, system architectures, and project outcomes. Regularly report on project progress, challenges, and achievements to senior leadership and stakeholders.
Qualification
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Required
7-10 years of experience in machine learning engineering, with a strong focus on developing and deploying machine learning models in production environments.
Strong expertise in Python and deep learning frameworks such as PyTorch and TensorFlow.
Extensive experience with time-series data analysis, feature engineering, and model optimization techniques.
Knowledge of cloud services (AWS, Azure, Oracle Cloud), containerization (Docker, Kubernetes), and microservices architecture.
Proven track record of deploying machine learning models in a cloud environment.
Experience in designing and implementing anomaly detection systems for system logs.
Proficiency in using statistical methods, machine learning algorithms, and signal processing techniques to identify and diagnose anomalies in large-scale log data.
Excellent problem-solving skills, with the ability to identify and address potential issues proactively.
Experience in troubleshooting and optimizing machine learning models and systems.
Proven leadership abilities with a track record of mentoring and guiding junior team members.
Strong communication skills to effectively collaborate with cross-functional teams and present complex technical information to non-technical stakeholders.
Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Data Science, or a related field.
Ability to thrive in a fast-paced, dynamic environment, managing multiple tasks and projects simultaneously.
Eagerness to continuously learn and adapt to new technologies and methodologies.
Preferred
Knowledge and hands-on experience with AI agent frameworks and libraries is a plus.
Relevant certifications in machine learning or AI are a plus.
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
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
10,001+ employees
H1B Sponsorship
Oracle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (794)
2022 (1124)
2021 (1049)
2020 (764)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Sequoia Capital
1986-03-12IPO· nyse:ORCL
1983-01-01Series Unknown· Undisclosed
Leadership Team
Chaitanya M. Kamat
Managing Director & Chief Executive Officer
Safra Catz
CEO
Recent News
2024-11-08
The Motley Fool
2024-10-29
Company data provided by crunchbase
