Senior MLOps Engineer — AI Infrastructure Lead

Grindr; Palo Alto (CA); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Health, Dental & Vision full coverage

Up to $200,000 in family support

401(k) with 6% match

Industry-competitive compensation

Flexible vacation policy

Monthly stipends for wellness and commuting

Job summary

Grindr is seeking a Staff MLOps Engineer to build and maintain ML infrastructure in a hybrid role based in Palo Alto or Chicago. You will work on data ingestion, model training, and deployment at scale, ensuring system reliability and performance. This role requires a Bachelor's degree and 5+ years in MLOps, with strong skills in Python, SQL, and cloud platforms. Grindr offers competitive compensation, comprehensive benefits, and a dynamic work culture that values balance and impact.

Qualifications

• 5+ years experience in MLOps or similar roles.
• Strong experience and expertise in ML lifecycle management.
• Ability to produce maintainable software with tests.

Responsibilities

• Build and maintain end-to-end ML pipelines.
• Stand up and manage a feature store.
• Implement monitoring and observability for ML systems.

Skills

Production ML pipelines

Python

SQL

Big Data

Kubernetes

Docker

ML frameworks

Cloud platforms

Education

Bachelor’s degree in CS, Engineering, Mathematics

Tools

Snowflake

Spark/pySpark

Airflow

Git

Helm

Job description

Grindr is seeking a Staff MLOps Engineer to build and maintain ML infrastructure in a hybrid role based in Palo Alto or Chicago. You will work on data ingestion, model training, and deployment at scale, ensuring system reliability and performance. This role requires a Bachelor's degree and 5+ years in MLOps, with strong skills in Python, SQL, and cloud platforms. Grindr offers competitive compensation, comprehensive benefits, and a dynamic work culture that values balance and impact.