ML Infrastructure Engineer for Scalable AI Research

Ifm Us; Sunnyvale (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision benefits

Bonus

401k Plan

Generous paid time off

Paid Parental Leave

Employee Assistance Program

Life insurance and disability

Job summary

Ifm Us, based in Sunnyvale, California, is seeking a Machine Learning Engineer focused on ML infrastructure and MLOps. This role involves designing and operating scalable cloud infrastructure to support cutting-edge research. The ideal candidate will have strong experience with AWS, Kubernetes, and Python, balancing research needs with production quality.

The position offers comprehensive benefits including medical and dental coverage, a 401k plan, and generous paid time off, along with eligibility for visa sponsorship.

Qualifications

• 3+ years of experience in MLOps or backend/platform engineering.
• Strong experience with cloud platforms, preferably AWS.
• Solid software engineering skills with Python, Docker, and Git.

Responsibilities

• Design and operate scalable ML infrastructure on AWS.
• Develop and maintain MLOps workflows for data versioning.
• Build and manage distributed systems for data processing.

Skills

MLOps

ML infrastructure

AWS

Kubernetes

Python

Docker

Data processing

Observability

Job description

Ifm Us, based in Sunnyvale, California, is seeking a Machine Learning Engineer focused on ML infrastructure and MLOps. This role involves designing and operating scalable cloud infrastructure to support cutting-edge research. The ideal candidate will have strong experience with AWS, Kubernetes, and Python, balancing research needs with production quality.

The position offers comprehensive benefits including medical and dental coverage, a 401k plan, and generous paid time off, along with eligibility for visa sponsorship.