Machine Learning Engineering Manager

Harnham • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead a team of 5-10 engineers to build and scale production-grade machine learning systems for real-time decisioning in e-commerce and payments. Own end-to-end ML pipelines, infrastructure, and experimentation frameworks while driving commercial outcomes at scale. Requires expertise in Python, SQL, distributed frameworks, and strong team leadership experience.

Key Highlights

Manage a team of 5-10 engineers and own end-to-end ML pipelines

Build and deploy production-grade ML models for real-time systems

Competitive compensation package of $200,000 - $230,000 base + bonus + equity

Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

Key Responsibilities

Build and deploy production-grade ML models for real-time systems

Design scalable ML pipelines and infrastructure for high-throughput environments

Develop offline experimentation and evaluation frameworks

Improve model performance through statistical methods and feature engineering

Work with distributed systems and large-scale data processing

Partner with cross-functional teams to deliver ML solutions aligned to business needs

Own the full lifecycle from experimentation to production and monitoring

Technical Skills Required

Python SQL Spark

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

Benefits & Perks

$200,000 - $230,000 base salary + bonus + equity

Fully remote working in the US

Unlimited paid time off and flexible working

Comprehensive health and financial benefits, including 401k

Learning budget

Job Description

Machine Learning Engineering Manager

USA | Remote | $200,000 - $230,000 base + bonus + equity

A high-impact Machine Learning Engineering role focused on building and scaling production systems for real-time decisioning. You will manage a team of 5-10 and own end-to-end ML pipelines, working on models that directly drive commercial outcomes at scale, as well as contribute to ML research within the AI Lab.

The Company

Want the full job description? Read the complete details on LinkedIn, the original posting.

Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.