Robotics MLOps Engineer - Edge AI Deployment (Hybrid)

Medium; Irvine (CA); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Flexible work arrangement

Collegial team environment

Job summary

A leading robotics AI firm is seeking an MLOps Engineer in Irvine, California. This role involves designing and maintaining machine learning systems used in robotics applications, collaborating closely with engineering teams, and ensuring model reliability. Candidates should have a relevant degree, 3-7 years of experience, and strong programming skills, particularly in Python. The company offers a competitive salary, hybrid work options, and the chance to work on cutting-edge robotic systems.

Qualifications

• 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.
• Solid understanding of Linux systems and distributed computing environments.
• Experience with GPU workload scheduling.

Responsibilities

• Design, build, and maintain GPU based infrastructure for machine learning pipelines.
• Monitor model performance and system reliability across environments.
• Improve the efficiency, scalability, and reliability of ML workflows.

Skills

Strong programming skills in Python

Experience with cloud tools (AWS, Kubernetes)

Hands-on experience with ML pipelines

Excellent problem-solving skills

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Kubernetes

AWS

Job description

A leading robotics AI firm is seeking an MLOps Engineer in Irvine, California. This role involves designing and maintaining machine learning systems used in robotics applications, collaborating closely with engineering teams, and ensuring model reliability. Candidates should have a relevant degree, 3-7 years of experience, and strong programming skills, particularly in Python. The company offers a competitive salary, hybrid work options, and the chance to work on cutting-edge robotic systems.