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This listing was closed on Aug 30, 2026.
Browse Open JobsMachine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Stripe. in REMOTE, WORLDWIDE. Imported listing (source: flexgen.zya.me). Apply on the employer's site (flexgen.zya.me).
Imported listing (source: flexgen.zya.me) · Apply on flexgen.zya.me
REMOTE · WORLDWIDE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from flexgen.zya.me
We are hiring a Machine Learning Engineer to join a tech team focused on developing and operationalizing ML solutions in cloud-native environments. The role involves building scalable ML pipelines, implementing MLOps practices, and collaborating with data science teams.
Responsibilities
- Develop scalable feature engineering pipelines
- Build and orchestrate end-to-end ML pipelines using Databricks
- Implement MLOps workflows including CI/CD for ML
- Manage the ML model lifecycle (versioning, deployment, monitoring, retraining)
- Optimize performance, scalability, and costs of pipelines and models
- Collaborate with multidisciplinary teams to industrialize data science solutions
- Ensure reliability, monitoring, and observability of ML systems in production
- Promote best practices in automation and ML engineering
Requirements
- Degree in Computer Engineering, Mathematics, Statistics or similar
- Minimum 5 years of experience in Machine Learning Engineering
- Strong experience in feature engineering and data pipeline development
- Practical experience with Databricks and workflow orchestration
Stripe
South San Francisco · US · 10338+ employees
Stripe is a multinational financial services and SaaS company that provides economic infrastructure for the internet. It is widely used for online payment processing, billing, and managing money movement for businesses of all sizes.
