Senior Machine Learning Engineer

Thorn

Senior ML Engineer building machine learning models at Thorn to eliminate child sexual exploitation. Collaborating with cross-functional teams and presenting technical work at external forums.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $154,000 - $212,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building, deploying, and maintaining machine learning models and algorithms, with a strong focus on computer vision and natural language processing. Proven ability to collaborate with cross-functional teams and communicate technical concepts effectively.

Highest-signal resume keywords

Machine Learning Systems DevelopmentComputer Vision DeploymentNatural Language Processing ImplementationPh.D. or Master's Degree in Quantitative FieldModel Serving Infrastructure Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceModel DevelopmentAlgorithm DesignData LabelingModel TestingProduction PipelinesComputer VisionNatural Language ProcessingModel Maintenance

Soft Skills

Clear CommunicationCollaborationAdaptabilityProblem SolvingStakeholder Engagement

Industry Keywords

Online Child SafetyData Labeling GuidesCross-Functional CollaborationTechnical Presentations

About the role

Key responsibilities & impact

Build, deploy and maintain world class models, classifiers and algorithms
Own end-to-end model development: design, build, test and maintain machine learning systems and algorithms
Work closely with specialists to create data labeling guides and support labeling efforts
Collaborate with product teams to maintain and deploy models, algorithms, and model serving infrastructure
Present technical work at conferences and external forums
Identify novel solutions for solving online child safety problems

Requirements

What you’ll need

5+ years background in machine learning and/or artificial intelligence
Ph.D or master's degree in a quantitative field, or equivalent professional experience
Experience designing and building machine learning systems and pipelines for production
Experience deploying computer vision and/or natural language processing in production
Ability and interest in learning new technologies quickly
Ability to work with ambiguity, shifting requirements, and collaborate with cross-functional internal and external stakeholders
Clear, efficient, and thoughtful communication skills

Benefits

Comp & perks

Remote-first work model
Opportunities for professional growth and development