below marketmost similar roles pay hereabove market
This role pays less than
71%
of similar roles. Most pay
$195,150–$255,125
— the blue band above.
At the midpoint, this role pays about
$195k
versus about
$225k
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
955 open roles
on FindRole.
Listed pay typically runs
$102,300–$234,600
across 790 roles with salary data.
JOB TITLE: Principal Applied Scientist - Robotics
The IC4 Applied Scientist for Robotics, Perception, and Embodied AI serves as a senior technical leader within the Product and Research team. This role involves defining, prototyping, and delivering AI capabilities for commercially viable robotic systems by translating ambiguous product needs into research and engineering roadmaps. You will lead applied research in multi-sensor fusion, real-time signals, perception, multimodal reasoning, reinforcement learning, and action-conditioned planning. Key responsibilities include developing object detection, tracking, and scene understanding capabilities while managing full-stack execution across data pipelines, model training, and production deployment. Required expertise includes Python, C++, PyTorch, and ROS. You will solve complex problems in embodied AI by integrating heterogeneous data sources like lidar, audio, and telemetry to enable robust robot behaviors in real-world environments.
What does a Applied Scientist earn?
Median $208800 from 61 postings across 10 companies.
Translate ambiguous product needs into clear research plans, model architectures, and production milestones.
Lead the design and execution of research programs for multi-sensor fusion and real-time signal processing.
Develop multimodal AI systems integrating camera, depth, lidar, audio, and telemetry data.
Apply reinforcement learning and action-conditioned planning to create robust robot behaviors.
Define dataset strategies including quality criteria, labeling approaches, and synthetic data opportunities.
Manage full-stack execution from experimentation and model training to production deployment and monitoring.
Review high-complexity code and establish best practices for version control and documentation.
Serve as a technical escalation point for complex robotics and systems integration issues.
What we're looking for
Must have 15 years of experience in data science, machine learning, AI, robotics, or related fields; OR a Bachelor's degree plus 11 years; OR a Master's degree plus 9 years; OR a Doctorate plus 7 years.
Requires at least 7 years of hands-on experience with Python, C++, PyTorch, and ROS for software development and machine learning.
Must possess deep expertise in computer vision, perception, sensor fusion, and real-time signal processing.
Must have practical knowledge of reinforcement learning, planning, and action-conditioned model behavior.
Requires the ability to design multimodal AI systems that integrate heterogeneous data sources like lidar, audio, and telemetry.
Must demonstrate technical leadership in guiding teams toward strategic goals and managing cross-functional collaborations.
Must be able to communicate complex robotics and AI trade-offs to both technical and non-technical audiences.
Applicants must be able to read, write, and speak English.