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AI Research Engineer

Cobot· General
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SeattleFull-timePosted 11mo ago

About the role

Role focused on advancing AI/ML through foundational models research and software engineering, designing and prototyping experiments, and contributing to autonomous systems and human–robot interaction.

Responsibilities

  • 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.

Qualifications

  • 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.
  • Willing to occasionally travel.
  • Must have and maintain US work authorization.

Skills

Required:ML pipeline design and iterationLarge-scale model trainingReinforcement learning
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Cobot

Building Tomorrow, Together with Cobot

Collaborative Robotics is a team of innovators defining the future of robot interaction. Real-World Applicability. Predictable Behaviors. Brilliant Hardware.

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