Applied Industrial Technologies

11 months ago

Research Scientist - World-Action Foundation Model, Robotics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Research Scientist to advance world-action foundation models for robotics and autonomous systems, focusing on 3D vision, world modeling, and multi-modal pretraining. Collaboration with researchers and engineers to publish and deploy algorithms for autonomous driving and robotic platforms. Requires strong ML/vision background and experience with Python and PyTorch in distributed training contexts.

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Conduct research on pretraining world-action foundation model with various world modalities including vision and physics associated with ego actions, serving the purpose for both robot action and simulation world generation.
•Diving into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning, deformable object modeling and simulation.
•Related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to autonomous driving, and fundamental topics on 3D vision and generation with broader applications
•Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
•Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and simulation products

Key Requirements

•MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
•Strong research record in the fields of 3D vision, reconstruction and generation for robotics and autonomous systems, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
•Passion for next-generation, scalable autonomy and robotics for real-world systems
•Strong research skills and the ability to work both independently and collaboratively on projects
•Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training

Experience:RoboticsAutonomous systemsAI research

Education:Master's in machine learning and computer vision

Skills:CollaborationIndependenceProblem-solving

Tech Stack:PythonPyTorchComputer visionRoboticsDistributed MLMachine learning

Company Brief

Applied Industrial Technologies

Applied Industrial Technologies is a distributor of industrial products and services, supplying bearings, power transmission, fluid power, safety products, and engineered solutions to maintenance, repair and operations customers and OEMs.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1923

Website LinkedIn

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Applied Industrial Technologies

11 months ago

Research Scientist - World-Action Foundation Model, Robotics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Conduct research on pretraining world-action foundation model with various world modalities including vision and physics associated with ego actions, serving the purpose for both robot action and simulation world generation.
•Diving into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning, deformable object modeling and simulation.
•Related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to autonomous driving, and fundamental topics on 3D vision and generation with broader applications
•Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
•Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and simulation products

Key Requirements

•MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
•Strong research record in the fields of 3D vision, reconstruction and generation for robotics and autonomous systems, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
•Passion for next-generation, scalable autonomy and robotics for real-world systems
•Strong research skills and the ability to work both independently and collaboratively on projects
•Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training

Experience:RoboticsAutonomous systemsAI research

Education:Master's in machine learning and computer vision

Skills:CollaborationIndependenceProblem-solving

Tech Stack:PythonPyTorchComputer visionRoboticsDistributed MLMachine learning

Company Brief

Applied Industrial Technologies

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1923

Website LinkedIn