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# Head of Machine Learning - Remote

- **Company:** Glint Tech Solutions LLC
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $210,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Cyber Security, Data Cleansing, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Software Deployment, Software Engineering, Feature Engineering, Model Validation, Information Technology, Machine Learning Operations
- **Published:** July 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b96d765d167c5c3e

## About the Role

* 7-15 years of experience in Applied Machine Learning or Data Science.
 * 4+ years leading and managing Machine Learning or Data Science teams.
 * Proven success building and scaling production machine learning products in high-growth startup environments.
 * Experience leading teams responsible for ML systems that are core to the business.
 * Strong software engineering skills with production-level Python development.
 * Deep experience across the full machine learning lifecycle:
 + Feature engineering
 + Model training
 + Model evaluation
 + Production deployment
 + Monitoring
 + Continuous improvement
 * Domain expertise in one or more of the following:
 + Fraud Detection
 + Financial Risk
 + Identity Verification
 + Cybersecurity
 * Experience owning multiple production ML models rather than a single isolated project.
 * Strong leadership, communication, and stakeholder management skills.
 * Ability to communicate technical concepts clearly to executives and cross-functional partners., * Experience at high-growth startups (approximately 20-400 employees).
 * Track record of scaling both machine learning products and engineering organizations.
 * Experience solving complex, high-impact business problems through machine learning.
 * Strong business acumen with the ability to align ML strategy to company objectives.
 * Demonstrated career progression into increasingly broader technical leadership roles., * Master's or PhD in Computer Science, Statistics, Mathematics, Physics, Engineering, or another STEM discipline preferred.
 * Exceptional candidates with a Bachelor's degree and outstanding industry experience will also be considered., We're looking for someone who:
 * Combines deep machine learning expertise with strong software engineering fundamentals.
 * Has built and deployed production ML systems at scale.
 * Can balance strategic leadership with technical depth.
 * Enjoys mentoring and developing high-performing teams.
 * Thrives in fast-paced startup environments.
 * Takes ownership of business outcomes-not just model accuracy.
 * Is comfortable influencing technical direction and executive decision-making.

Technical Skills

 * Python
 * Machine Learning
 * Feature Engineering
 * Model Training & Evaluation
 * Model Deployment & Monitoring
 * Fraud Detection
 * Identity Verification
 * Financial Risk Modeling
 * Production ML Systems
 * Data Science
 * Software Engineering

## Description

We are seeking an exceptional Head of Machine Learning to lead our Fraud & Risk Machine Learning organization. This is a highly visible leadership role responsible for building and scaling the next generation of fraud detection and risk decisioning products.

You'll lead a high-performing ML team while remaining technically credible, partnering closely with Product, Engineering, and Executive Leadership to develop production-grade machine learning systems that directly impact the business.

This role is ideal for a hands-on technical leader who has successfully scaled ML products and teams in fast-growing startup environments., * Lead the Fraud & Risk Machine Learning organization, managing a team responsible for production fraud detection models.

 * Define and execute the machine learning roadmap for fraud prevention, identity verification, and risk decisioning.
 * Build and scale a portfolio of production ML models from concept through deployment and continuous optimization.
 * Partner with Product, Engineering, Risk, and Executive Leadership to solve complex business challenges using machine learning.
 * Drive end-to-end machine learning development including:
 + Feature engineering
 + Data preparation
 + Model development
 + Validation
 + Production deployment
 + Monitoring and model performance optimization
 * Establish best practices for model governance, experimentation, and production reliability.
 * Mentor and grow a high-performing team of Data Scientists and Machine Learning Engineers.
 * Provide technical leadership while remaining capable of contributing hands-on when necessary.
 * Present technical strategy, business impact, and model performance to executive stakeholders.


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