Architect, Applied Scientist (Reasoning Platform, AI Lead)

Oracle

Quick summary

Work type
On-site
Location
—
Salary
$161,700–$338,500 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $250k
$140k most similar roles pay here $360k

This role pays more than 85% of similar roles. Most pay $170,300–$246,150 — the shaded band above. At the midpoint, this role pays about $250k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 755 open roles on FindRole.

Listed pay typically runs $97,500–$211,506 across 570 roles with salary data.

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At a glance

TL;DR · Architect, Applied Scientist (Reasoning Platform, AI Lead)

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As an Architect, Applied Scientist at the Reasoning Platform team, you will lead the development and deployment of advanced machine learning systems and algorithms to solve complex business problems. Your day-to-day responsibilities include collaborating with science, engineering, and product teams to identify customer needs, design innovative solutions, and drive model implementations that enhance decision support, anomaly detection, forecasting, recommendations, NLP, ASR, ML, and CV services. You will leverage cloud technologies to build scalable AI solutions for enterprises while ensuring ethical considerations are addressed. With expertise in data science, you will conduct research, run experiments, and optimize risk and profitability metrics. This role requires extensive experience with machine learning frameworks like TensorFlow or PyTorch, proficiency in Python, and a deep understanding of AI ethics. You will influence Oracle’s AI strategy across multiple business units and mentor team members to achieve engineering excellence.

Skills

Python Java Machine Learning Deep Learning Cloud Services Natural Language Processing Time Series Analysis Automatic Speech Recognition Computer Vision CI/CD Kubernetes AWS Docker Terraform Prometheus Grafana

What you'll do

  • Leads the execution of Data & AI Platform applied science strategies and plans.
  • Designs and implements machine learning models for enterprise cloud services.
  • Conducts research to develop new algorithms and optimize customer experience.
  • Provides technical leadership in setting engineering practices and operational goals.
  • Collaborates with senior management to define Oracle's AI direction and initiatives.
  • Identifies and mitigates risks across systems at the intersection of business and engineering.

What we're looking for

  • At least 10 years of experience in machine learning and AI research and development.
  • Proven track record of implementing state-of-the-art algorithms and systems in cloud services.
  • Strong expertise in natural language processing, understanding, automatic speech recognition, and computer vision.
  • Ability to design and run experiments, develop models, and optimize risk and customer experience.
  • Experience leading scientific and technical teams, mentoring, and setting direction for AI efforts.
  • Excellent collaboration skills with engineering, product management, and senior leadership teams.

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