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This listing was closed on Sep 10, 2026.
Browse Open JobsMachine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (contract). with Amplitude. in REMOTE, WORLDWIDE. Compensation shown: $39K–$52K. Imported listing (source: hiresub.infinityfree.me). Apply on the employer's site (hiresub.infinityfree.me).
Imported listing (source: hiresub.infinityfree.me) · Apply on hiresub.infinityfree.me
REMOTE · WORLDWIDE
$39K–$52K
Contract
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 hiresub.infinityfree.me
Remerge, a leading adtech company in programmatic in-app retargeting, is hiring a Machine Learning Engineer for its Performance team. The role focuses on building and deploying high-performance ML models for real-time bidding, owning the full ML lifecycle from data to online serving, and running experiments to optimize ad performance. You will collaborate across teams and integrate AI coding tools to accelerate development.
Responsibilities
- Build, train, and deploy high-performance ML prediction models for real-time adtech environments.
- Own the full ML path from raw data and feature definitions through training, evaluation, and online serving.
- Design and refine complex bidding algorithms orchestrating multiple models in milliseconds.
- Run offline simulations and online A/B tests to measure algorithmic impact.
- Collaborate cross-functionally with engineering and product partners.
- Integrate AI tools and coding agents to maximize throughput and code quality.
Requirements
- Strong proficiency in Python and TensorFlow for building ML models.
- Comfortable reading Go to navigate online serving services.
- Solid understanding of feature engineering and online/offline consistency.
Amplitude
San Francisco · US · 931+ employees
Amplitude is a digital product-analytics company that helps organizations understand user behavior and improve digital products. Its AI analytics platform supports product, data, and growth teams with insights, measurement, and experimentation.
