Applied Industrial Technologies

11 months ago

Research Engineer - Robot Learning

✓ 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 Engineer to advance autonomous driving and robotic generalist AI. Design mechatronic systems, build scalable robotic simulation environments for RL, process data, publish research, and collaborate with engineers to deploy end-to-end autonomy solutions for mass production vehicles.

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Support the team robotic and data collection hardware set up, and design the mechatronic system for customized demands
•Construct robotic simulation environments at scale and use it for RL training
•Process human data for robotic use cases
•Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
•Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

Pay and Benefits

Salary: USD 126,000 - 423,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kLearning StipendWellness StipendPaid Leave

Key Requirements

•Hands-on experience in at least one of the following fields: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning; VLA post-training, reinforcement learning; Physics-aware reconstruction, deformable simulation.
•Passion for next-generation, scalable autonomy and robotics for real-world systems
•Strong engineering and 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

Skills:CollaborationCommunicationProblem-solvingTeamwork

Tech Stack:PythonPyTorchComputer visionRoboticsDistributed training

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 Engineer - Robot Learning

✓ 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: Education & Training

Key Responsibilities

•Support the team robotic and data collection hardware set up, and design the mechatronic system for customized demands
•Construct robotic simulation environments at scale and use it for RL training
•Process human data for robotic use cases
•Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
•Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

Pay and Benefits

Salary: USD 126,000 - 423,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kLearning StipendWellness StipendPaid Leave

Key Requirements

•Hands-on experience in at least one of the following fields: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning; VLA post-training, reinforcement learning; Physics-aware reconstruction, deformable simulation.
•Passion for next-generation, scalable autonomy and robotics for real-world systems
•Strong engineering and 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

Skills:CollaborationCommunicationProblem-solvingTeamwork

Tech Stack:PythonPyTorchComputer visionRoboticsDistributed training

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