Foundational 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

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.