Senior Machine Learning Engineer

Attentive

. Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, and personalization systems .

Posted 10/26/2026full-timeUnited StatesSenior💰 $244,000 - $320,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating scalable machine learning systems, with a strong focus on Python programming and proficiency in ML frameworks. Capable of leading end-to-end ML projects while ensuring system reliability and performance through effective collaboration and mentorship.

Highest-signal resume keywords

Machine Learning Systems DevelopmentPython ProficiencyExperience with PyTorchExperience with TensorFlowAutomated Data Processing Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ExplorationModelingTestingMonitoringValidationDeploymentData ProcessingAnalyticsModel Training

Soft Skills

Strong CommunicationHigh Sense of Ownership

Tools & Technologies

PyTorchTensorFlowXgboostPandasSparkSQLMatplotlib

Industry Keywords

Real-Time TargetingDecisioningPersonalizationCross-Functional CollaborationProduction-Grade Systems

Tech Stack

Tools & technologies

PandasPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, and personalization systems
Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
Safeguard model and system quality through testing, monitoring, validation, and alerting
Collaborate with product, data, and engineering partners to translate business problems into ML solutions
Improve system reliability, performance, and engineering efficiency
Contribute to technical direction and best practices across the ML engineering team
Mentor and support engineers through code reviews, design discussions, and knowledge sharing
Build, scale, and operate production-grade ML systems driving real-time personalization across the Attentive platform

Requirements

What you’ll need

6+ years of professional experience building production machine-learning software systems
Proven experience owning ML systems long enough to see the downstream impact of design decisions
Strong proficiency in Python
Experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
Experience collaborating with cross-functional teams to deliver ML-powered features
Strong communication skills and a high sense of ownership

Benefits

Comp & perks

Equity
Health and wellness benefits
Competitive perks and benefits