Senior ML Platform Engineer: Scale ML Infra on AWS

Chime; San Francisco (CA); On-site; USD 187,000 - 259,000; Full time

Benefits offered by this job

Bonus opportunities

Equity package

Benefits package

Job summary

Chime is looking for a Machine Learning Engineer to design and operate scalable Machine Learning infrastructure on AWS. The ideal candidate should have over 5 years of experience in ML infrastructure and platform engineering, with a strong programming background in Python or similar languages.

The role offers a base salary between $187,000 and $259,000, along with eligibility for bonuses and equity packages. Join Chime's innovative MLP team to further enhance data science capabilities.

Qualifications

• 5+ years of experience in ML infrastructure or platform engineering.
• Ability to design scalable ML infrastructure on AWS.
• Experience with containerization and orchestration.

Responsibilities

• Develop and operate scalable ML infrastructure on AWS.
• Build data ingestion and streaming systems.
• Enhance observability and reliability of ML workloads.

Skills

ML infrastructure experience

Distributed systems knowledge

Cloud computing expertise

Programming skills in Python

Containerization technologies (Docker, Kubernetes)

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS

Terraform

Ray

Spark

CI/CD pipelines

Job description

Chime is looking for a Machine Learning Engineer to design and operate scalable Machine Learning infrastructure on AWS. The ideal candidate should have over 5 years of experience in ML infrastructure and platform engineering, with a strong programming background in Python or similar languages.

The role offers a base salary between $187,000 and $259,000, along with eligibility for bonuses and equity packages. Join Chime's innovative MLP team to further enhance data science capabilities.