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Senior Engineer, Machine Learning at Jobgether – United States

Jobgether
United States, United States
Posted on
NewJob Function:Engineering
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About This Position

Senior Engineer, Machine Learning

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineer, Machine Learning in United States.
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.
Accountabilities:
  • 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.
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.
  • Experience in advertising technology, performance marketing, personalization, or growth analytics is preferred.
  • Strong cross-functional collaboration, ownership, and communication skills.
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.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.


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Job Location

United States, United States

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