Senior Engineer, Machine Learning

Jobgether

2d • Remote

About The Position

This role focuses on operationalizing machine learning models at scale, transforming prototypes into robust, production-ready systems that power large-scale marketing campaigns. You will work with massive data pipelines, ensuring models are reliable, efficient, and cost-effective while collaborating across data science, product, and platform teams. The position emphasizes building high-quality ML solutions that improve targeting, personalization, and campaign performance. You will own deployment, monitoring, and continuous improvement of ML systems, balancing model quality with system performance and speed-to-production. This is a hands-on role for engineers who thrive on solving complex technical challenges and delivering measurable impact in a high-performance, fully remote environment.

Requirements

• 5+ years of experience building and deploying machine learning models in production.
• Strong applied ML fundamentals: classification, regression, forecasting, and rigorous evaluation practices.
• Proficiency in Python and SQL with strong production engineering discipline (testing, maintainability, performance).
• Experience working with real-time or near-real-time data pipelines and experimentation frameworks.
• Knowledge of tools and ecosystems such as PyTorch, AutoGluon, Kedro, Polars, BigQuery/GCP, Airflow/SQLMesh.
• Demonstrated ability to balance model quality, system constraints, and speed-to-production.
• Strong cross-functional collaboration, ownership, and communication skills.

Nice To Haves

• Experience in advertising technology, performance marketing, personalization, or growth analytics is preferred.

Responsibilities

• Deploy, monitor, and maintain machine learning models and services in production environments.
• Transform data science prototypes into scalable, robust, and high-performance production systems.
• Design, train, evaluate, and improve models for optimization, forecasting, and deliverability.
• Build and maintain large-scale data pipelines and offline/online evaluation workflows.
• Collaborate with cross-functional teams including product, platform, and data science to ensure model reliability, scalability, and operational effectiveness.
• Focus on improving system reliability, latency, observability, and the speed of model testing and deployment.
• Share on-call responsibilities for production ML services and provide joint ownership of ML infrastructure.

Benefits

• 100% remote work within the U.S.
• Flexible vacation policy and annual travel allowance.
• Three-day weekends every month.
• Competitive compensation package.
• 100% healthcare coverage.
• 401k plan and flexible spending accounts (FSA) for medical, dental, and dependent care.
• Access to professional development, coaching, and therapy resources.
• Opportunity to work in a high-impact, innovative, and collaborative environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed