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.
The Principal Applied Scientist - Robotics serves as a senior technical leader within the Robotics, Perception, and Embodied AI 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. The scientist will lead applied research in multi-sensor fusion, real-time signal processing, perception, multimodal reasoning, reinforcement learning, and action-conditioned planning. Key responsibilities include developing models for object detection, tracking, and scene understanding while managing full-stack execution from data collection to production deployment. Required technical expertise includes Python, C++, PyTorch, and ROS. The role addresses the technical challenge of integrating heterogeneous data sources like lidar, audio, and telemetry to enable robust, measurable robot behaviors in real-world environments.
What does a Applied Scientist earn?
Median $208800 from 61 postings across 10 companies.
Translate ambiguous product requirements 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 advanced perception capabilities including object detection, tracking, and scene understanding in real-world environments.
Implement reinforcement learning and action-conditioned planning to enable robust robot behaviors.
Define data collection strategies, labeling protocols, and evaluation metrics for embodied AI use cases.
Manage the full-stack execution of model training, optimization, and integration into production systems.
Serve as a technical escalation point for complex robotics and system integration issues.
Mentor engineers and scientists while producing high-quality technical documentation and research publications.
What we're looking for
Must have 10 years of experience in data science, machine learning, AI, robotics, computer vision, or related fields (or equivalent degree-based experience).
Must have 7+ years of hands-on experience with Python, C++, PyTorch, and ROS for software development and robotics applications.
Must possess deep expertise in machine learning, computer vision, sensor fusion, and real-time signal processing.
Must have experience designing multimodal AI systems and practical knowledge of reinforcement learning or action-conditioned planning.
Must demonstrate technical leadership guiding teams and stakeholders toward strategic goals.
Experience with commercial robot platforms, SDKs/APIs, and simulation environments (preferred).
2 years of leadership experience in technical direction, mentoring, or project planning (preferred).
Master's degree in one of the above or related fields and 9 years of relevant.