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AI Research Engineer

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The AI Research Engineer position at Collaborative Robotics focuses on advancing artificial intelligence and machine learning through innovative research and software engineering. The role involves designing and implementing ML experiments, particularly in reinforcement learning and transformer-based architectures, to develop foundational models for autonomous systems. Located onsite in Seattle, WA, the company offers a collaborative environment for those passionate about human-robot interaction.

Qualification

  • Master’s degree in Machine Learning, AI, Computer Science, or a related technical field.
  • Minimum 3 years of experience in applied ML research and software engineering.
  • Hands-on experience training large-scale ML models such as transformers or diffusion models.
  • Strong understanding of reinforcement learning fundamentals and applications.
  • Proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
  • Proven ability to write clean, efficient, and scalable code that supports fast iteration.
  • Excellent collaboration and communication skills.

Responsibility

  • Design, build, and iterate on experimental ML pipelines supporting foundational model development.
  • Implement and train large-scale models, including transformers and diffusion-based architectures, for generative and control tasks.
  • Develop and evaluate reinforcement learning algorithms and frameworks for autonomous behaviors.
  • Rapidly prototype and deploy research ideas into working code to accelerate AI experimentation cycles.
  • Collaborate with cross-functional teams to integrate ML components into real-world systems.
  • Stay at the forefront of the latest AI research and share insights internally and externally.

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