Senior ML Platform Engineer: Field-Ready Robotics Infra

FieldAI; Irvine (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Collaboration with experts from top organizations

Inclusive workplace culture

Job summary

A leading robotics AI firm in Irvine seeks a Senior Machine Learning Platform Engineer. In this role, you will manage scalable ML infrastructure and develop cloud-based pipelines for multimodal datasets. The ideal candidate will have over 4 years of experience in ML infrastructure, coding skills in Python and TypeScript, and expertise in distributed systems and cloud platforms. Join our innovative team to transform raw data into actionable insights, working at the forefront of robotics challenges.

Qualifications

• 4+ years of industry experience in ML infrastructure or platform engineering.
• Strong coding skills in Python/TypeScript.
• Experience with distributed systems and cloud platforms (AWS preferred).
• Hands-on experience building ML pipelines for distributed training.

Responsibilities

• Design and manage scalable ML infrastructure.
• Develop cloud-based pipelines for training, evaluation, and inference.
• Build data systems for video ingestion and storage.
• Ensure reliability and observability with monitoring.
• Mentor and manage junior engineers.

Skills

Python

TypeScript

ML infrastructure

MLOps workflows

Cloud platforms

Distributed systems

Education

Bachelor’s/Master’s in Computer Science or related field

Tools

Terraform

Docker

Kubernetes

CloudFormation

MLflow

Kubeflow

Airflow

Job description

A leading robotics AI firm in Irvine seeks a Senior Machine Learning Platform Engineer. In this role, you will manage scalable ML infrastructure and develop cloud-based pipelines for multimodal datasets. The ideal candidate will have over 4 years of experience in ML infrastructure, coding skills in Python and TypeScript, and expertise in distributed systems and cloud platforms. Join our innovative team to transform raw data into actionable insights, working at the forefront of robotics challenges.