Principal Software Engineer, Machine Learning

Attentive

. Build, scale, and operate production-grade machine learning systems .

Posted 10/26/2026full-timeUnited StatesLead💰 $350,000 - $430,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building and scaling production-grade machine learning systems, utilizing tools such as TensorFlow and PyTorch. Proven ability to lead cross-functional projects and drive real-time personalization while maintaining high quality standards.

Highest-signal resume keywords

Machine Learning Systems DevelopmentTensorFlow or PyTorch ProficiencyPython ProgrammingCross-Functional Team LeadershipData Analysis and Model Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisModel DevelopmentModel ValidationModel ImplementationAutomated ProcessesScalable SystemsSQLSparkXGBoost

Soft Skills

CollaborationAdvocacy for QualityProject Management

Tools & Technologies

TensorFlowPyTorchPandasMatplotlibSQLSparkXGBoost

Industry Keywords

Real-Time PersonalizationCross-Functional ProjectsProduction-Grade SystemsQuality AssuranceTesting Techniques

Tech Stack

Tools & technologies

PandasPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Build, scale, and operate production-grade machine learning systems
Drive real-time personalization across the Attentive platform
Partner closely with Product and Engineering
Raise the technical bar across machine learning systems
Build systems that maintain a high bar of quality
Protect against regressions through varied testing techniques
Improve project quality through direct contributions and long-term advocacy for larger-scale changes
Lead cross-functional machine learning projects across teams

Requirements

What you’ll need

10+ years of professional experience building systems
Experience with TensorFlow or PyTorch, XGBoost, pandas, matplotlib, SQL, Spark, or similar tools
Proficiency or experience with Python
Extensive experience using machine learning and data analysis to build scalable systems and data-driven products
Experience working with cross-functional teams
Proven track record building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research
Experience leading cross-functional machine learning projects across teams

Benefits

Comp & perks

Equity
Health and wellness benefits
Competitive perks and benefits
Reasonable accommodations for candidates with disabilities