AI Research Engineer

Bison; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Relocation stipend

Job summary

Collaborative Robotics is seeking an AI Research Engineer to advance foundational models and autonomous systems. You will combine ML research with software engineering to prototype cutting‑edge AI capable of real‑world robotics applications.

Join a dynamic team exploring reinforcement learning, transformers, and diffusion models. The role is onsite in Seattle with a relocation stipend for qualifying relocations, and opportunities to collaborate across teams.

Qualifications

• Master’s degree in ML, AI, CS, or related field.
• Minimum 3 years of applied ML research and software eng.
• Hands‑on experience training large‑scale ML models (transformers or diffusion).
• Strong understanding of reinforcement learning fundamentals.

Responsibilities

• Design, build, and iterate ML pipelines for foundational models.
• Train large-scale models including transformers and diffusion architectures.
• Develop and evaluate reinforcement learning algorithms for autonomous behaviors.
• Prototype and deploy research ideas into working code quickly.
• Collaborate with cross‑functional teams to integrate ML components.
• Stay at the forefront of AI research and share insights.

Skills

Python

PyTorch

JAX

TensorFlow

Reinforcement learning

Education

Master's degree

PhD (preferred)

Tools

CUDA

Compute clusters

Job description

Are you passionate about advancing the state of artificial intelligence and machine learning? Our rapidly growing startup is seeking an AI Research Engineer to join our Foundational Models AI team. This role is ideal for researchers and builders who thrive at the intersection of machine learning research and software engineering—those who can turn innovative ideas into working prototypes that push the boundaries of what’s possible in intelligent systems.

In this role, you’ll work closely with a small, dynamic team of AI researchers and engineers exploring reinforcement learning, transformer-based architectures, and diffusion models. You’ll be expected to design, implement, and iterate on ML experiments rapidly, contributing to foundational model development that will shape the future of autonomous systems and intelligent robotics.

Join us to reimagine the future of human-robot interaction.

Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.

This role is located onsite at our Seattle, WA office.

Cobot will offer a relocation stipend if you are relocating to join our Seattle office and currently live more than 50 miles outside of the office location.

Key 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.
  

Minimum 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 (not just using) 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.
  

Preferred Qualifications:

• PhD in Machine Learning, AI, Computer Science, or related field.

• 4+ years of experience in applied ML research and software engineering.

• Experience designing ML experimentation frameworks and model training pipelines.

• Practical knowledge of simulation environments or robotics systems.

• While direct robotics manipulation experience is not required, familiarity with robotic systems or simulation environments is a plus.

• Familiarity with multimodal architectures and imitation learning.

• Understanding of edge compute or distributed ML training infrastructure.

Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know.

To all recruitment agencies: Collaborative Robotics does not accept agency resumes. Please do not forward resumes to our employees. Collaborative Robotics is not responsible for any fees related to unsolicited resumes.