Robotics Engineer

IFG - International Financial Group; Redmond (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

IFG - International Financial Group in Redmond, WA is seeking an experienced AI Engineer – Robotics to push forward robotic learning and VLA models, with hands-on work across simulation and hardware.

You will build and refine pipelines in Azure Machine Learning, work with PyTorch, ROS2, and diffusion/reinforcement learning methods, and contribute to production systems in an agile research environment.

Qualifications

• Master’s degree in CS/CE/Robotics or related field.
• 5–7 years of relevant experience.
• Strong Python programming experience (5+ years).
• Hands-on experience with PyTorch (2+ years).
• Experience with ROS2 (1+ year).
• Strong foundation in data structures, algorithms, and software design.
• Experience with robotic hardware and/or simulation environments.
• Experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with Vision-Language-Action models, diffusion models, or RL policies is desirable.
• PhD-level research experience or robotics lab experience is a strong plus.

Responsibilities

• Develop, fine-tune, and improve AI/ML solutions.
• Build training and evaluation pipelines using Azure Machine Learning.
• Analyze and refine datasets for robotic/AI applications.
• Develop tools for rapid deployment in simulation and hardware environments.
• Integrate robotic control and perception with simulation frameworks.
• Work with robotic hardware, arms, or simulation environments.
• Train and evaluate robotic learning models including VLA, diffusion, and reinforcement learning policies.
• Build and maintain test automation infrastructure.
• Troubleshoot, test, and improve production systems.

Skills

Python programming

PyTorch

ROS2

Machine learning

Diffusion models

Education

Master’s degree in Computer Science, Computer Engineering, Robotics

PhD-level research experience

Tools

Azure Machine Learning

TensorFlow

Job description

Are you passionate about Embodied AI, Robotics, and Foundation Models? We’re looking for an experienced AI Engineer – Robotics to join an innovative research team working to advance the state of the art in robotic learning.

In this role, you’ll work on cutting-edge research involving robotic learning, Vision-Language-Action (VLA) models, simulation environments, robotic hardware, and machine learning systems.

What You’ll Do

• Develop, fine-tune, and improve sophisticated AI and machine learning solutions.
• Build training and evaluation pipelines using Azure Machine Learning.
• Analyze and refine datasets for robotic and AI applications.
• Develop tools for rapid deployment of novel algorithms in both simulation and physical hardware environments.
• Integrate robotic control and perception stacks with simulation frameworks.
• Work with robotic hardware, robotic arms, or simulation environments.
• Train and evaluate robotic learning models, including VLA models, diffusion models, and reinforcement learning policies.
• Build and maintain test automation infrastructure.
• Troubleshoot, test, and improve both new and existing production systems.

What We’re Looking For

• Master’s degree in Computer Science, Computer Engineering, Robotics, or a related technical field.
• 5–7 years of relevant experience.
• Strong Python programming experience (5+ years).
• Hands‑on experience with PyTorch (2+ years).
• Experience with ROS2 (1+ year).
• Strong foundation in data structures, algorithms, and software design.
• Experience with robotic hardware and/or simulation environments.
• Experience with machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with robotic learning models such as Vision‑Language‑Action models, diffusion models, or reinforcement learning policies is highly desirable.
• PhD-level research experience or experience working in a robotics research lab is a strong plus.

This is an exciting opportunity to work with an agile, dynamic research team and make a meaningful impact on the future direction of robotic learning and AI research.