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Principal Applied Scientist - Robotics

Job in Indianapolis, Marion County, Indiana, 46202, USA
Listing for: Oracle
Full Time position
Listed on 2026-08-08
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
  • Research/Development
    Data Scientist
Job Description & How to Apply Below
** Job Description*
* The IC4 Applied Scientist for Robotics, Perception, and Embodied AI will serve as a senior technical leader responsible for defining, prototyping, and delivering AI capabilities for commercially viable robotic systems. This role partners across science, software engineering, product, and hardware teams to identify high-impact opportunities, translate ambiguous product needs into research and engineering roadmaps, and guide end-to-end solution development from data collection and experimentation through production deployment.

The scientist will lead applied research in multi-sensor fusion, real-time signals, perception, multimodal reasoning, reinforcement learning, and action-conditioned planning, with a strong bias for hands-on execution and full-stack delivery.

** Responsibilities*
* ** Key Responsibilities*
* ** Solution Identification:*
* -Independently collaborates with science, engineering, and product teams to identify business and product needs to create and implement solutions, promote innovation, and drive model implementations.

-Independently performs literature reviews and state-of-the-art analyses to understand the problem that needs to be solved.

-Creates a science plan to address product and/or business problems.

-Serves as a leading contributor on the identification of solutions based on the scientific process (e.g., including modeling approaches, evaluation techniques, data collections).

** Solution Development - Applied Research:*
* -Develops and pilots research proofs-of-concept (POCs) or research experiments to demonstrate the feasibility of proposed solutions, gather supporting evidence, and secure resources for applied research.

-Independently identifies and prepares datasets for use in applied research. Ensures datasets meet quality standards, and identifies gaps in the data.

-Contributes to the design of and conducts research on new theories, tools, and methodologies to transfer and apply state-of-the-art technologies into products and services or make advancements in the field.

** Solution Development:*
* -Designs, develops, and optimizes ML and AI technologies, such as model training/fine-tuning and computation optimizations.

-Designs and reviews the architecture of ML and AI solutions, such as data, model, training, and evaluation, employing best practices.

** Solution Development - Articulating Research Insights:*
* -Independently identifies meaningful insights from data and metadata sources from analysis and experiments.

-Interprets and communicates insights and findings to cross-level and cross-functional audience.

-Creates patents, white papers, or other technical documentation related to applied research outcomes.

** Solution Delivery - Coding and Documentation:*
* -Develops efficient, bug-free, medium-complexity code from scratch, and properly maintains and organizes existing codebase.

-Implements best practices for version control, code review, and code delivery/deployment.

-Builds and maintains professional documentation for technical processes (experimentation, data collection and analyses, model building).

-Tests and reviews code for bugs.

** Solution Delivery:*
* -Collaborates with fellow technical teams to ensure the successful and timely delivery of solutions and integration of services.

-Collaborates with software engineers and/or machine learning engineers to deploy solutions into production environments.

-Participates in the peer review of solutions prior to delivery.

-Coordinates with team members for the delivery of solutions.

-Ensures delivered solutions successfully solve product and/or business problems.

-Independently collaborates with operational teams to evaluate and monitor solutions in production.

** Building Research Capability - Research Excellence:*
* -Demonstrates advanced knowledge in at least one business-critical applied research technology area.

-Applies advanced domain knowledge and industry best practices to applied research.

** Building Research Capability - Research Community Presence:*
* -Leads the publication and presentation of research findings and papers in conferences, research and industry outlets, etc.

-Participates in the…
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