Applied Scientist 3

Oracle

Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$114,600–$234,600 / yr
Posted
today
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $175k
$100k most similar roles pay here $249k

This role pays less than 51% of similar roles. Most pay $135,000–$221,000 — the shaded band above. At the midpoint, this role pays about $175k versus about $178k 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 643 open roles on FindRole.

Listed pay typically runs $99,600–$209,500 across 473 roles with salary data.

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View all roles at Oracle

At a glance

TL;DR · Applied Scientist 3

Role Posting Log in to save

As an Applied Scientist 3 at our company, you will join a dynamic team of researchers and engineers focused on advancing machine learning and AI technologies. Your role involves inventing and implementing cutting-edge algorithms for cloud services such as decision support, anomaly detection, and natural language processing. You will collaborate closely with science, engineering, and product teams to identify customer needs and develop scalable solutions using Python, C/C++, PyTorch, TensorFlow, and Keras. Key responsibilities include designing experiments, training models, and deploying them in production while ensuring safety and ethical standards are met. With a focus on large-scale data sets and complex analytical problems, you will contribute to the development of innovative products and services across domains like deep learning, generative AI, and reinforcement learning.

Skills

Python PyTorch TensorFlow Keras OpenCV Git HuggingFace DeepLearning ReinforcementLearning LLM VLM DiffusionModels scikit-learn Pandas DistributedSystems SafetyAI ResponsibleAI SyntheticData DatasetDesign StatisticalModels ProductionOperations

What you'll do

  • Develop and deploy state-of-the-art machine learning algorithms for enterprise solutions.
  • Design and execute experiments to optimize risk, profitability, and customer experience.
  • Implement natural language processing and computer vision systems in production environments.
  • Curate large datasets and generate synthetic data for training advanced models.
  • Evaluate and benchmark large language models using ethical standards and red teaming techniques.
  • Stay updated with emerging trends and research in machine learning and neural networks.

What we're looking for

  • 4+ years of experience in machine learning or related technical field.
  • Expertise in Python, C/C++, and deep learning frameworks like PyTorch and TensorFlow.
  • Experience with dataset design, curation at scale, and synthetic data generation.
  • Knowledge of OpenCV, Git, HuggingFace, and distributed systems.
  • Proficiency in safety and responsible AI evaluation, including red teaming.
  • Skills in reinforcement learning techniques such as DPO, PPO, KTO, and GRPO.

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