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Senior Research Engineer, Data Engine(m/w/x)
Designing infrastructure for large-scale robotic foundation models and real-world robot data pipelines in industrial robotics. 4+ years on medium/large software projects with Python/C++, ML, cloud, containerization, and database experience required. Pioneering work on intelligent, accessible industrial robotics.
Requirements
- Four-year degree in Computer Science
- Collaboration on medium to large software projects for at least 4 years
- Programming experience in Python or C++
- Experience with machine learning (Tensorflow, JAX), cloud computing, containerization (Google Cloud, Docker, Kubernetes), database (SQL, no-SQL), and service-oriented architecture frameworks
- Proven ability to work with a team
- PhD in Computer Science or Engineering with a specialization in Machine Learning or Robotics
- Academic track record of publications in Machine Learning or Robotics
- Experience with Robotic Foundation Models or Vision-Language-Action Models
- Experience with deploying ML services at scale
Tasks
- Design and implement infrastructure for training large-scale robotic foundation models
- Build and maintain data pipelines for processing real-world robot data
- Provide accessible tools and infrastructure for ML researchers and engineers
- Collaborate with product and engineering teams to define infrastructure requirements
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Tensorflow
- JAX
- Google Cloud
- Docker
- Kubernetes
- SQL
- no-SQL
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Senior Research Engineer, Data Engine(m/w/x)
Designing infrastructure for large-scale robotic foundation models and real-world robot data pipelines in industrial robotics. 4+ years on medium/large software projects with Python/C++, ML, cloud, containerization, and database experience required. Pioneering work on intelligent, accessible industrial robotics.
Requirements
- Four-year degree in Computer Science
- Collaboration on medium to large software projects for at least 4 years
- Programming experience in Python or C++
- Experience with machine learning (Tensorflow, JAX), cloud computing, containerization (Google Cloud, Docker, Kubernetes), database (SQL, no-SQL), and service-oriented architecture frameworks
- Proven ability to work with a team
- PhD in Computer Science or Engineering with a specialization in Machine Learning or Robotics
- Academic track record of publications in Machine Learning or Robotics
- Experience with Robotic Foundation Models or Vision-Language-Action Models
- Experience with deploying ML services at scale
Tasks
- Design and implement infrastructure for training large-scale robotic foundation models
- Build and maintain data pipelines for processing real-world robot data
- Provide accessible tools and infrastructure for ML researchers and engineers
- Collaborate with product and engineering teams to define infrastructure requirements
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Tensorflow
- JAX
- Google Cloud
- Docker
- Kubernetes
- SQL
- no-SQL
About the Company
Intrinsic
Industry
IT
Description
The company aims to reimagine the potential of industrial robotics, making it intelligent and accessible for businesses and developers.
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