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Machine Learning Engineer - Job Opportunity at Integral Ad Science

Paris, France
Full-time
Mid-level
Posted: April 14, 2025
Hybrid
EUR 65,000 - 85,000 annually based on Paris market rates for ML engineers with similar requirements

Benefits

Hybrid work environment with flexible arrangements
Professional development in cutting-edge ML technologies
Collaborative research-oriented culture
Cross-functional exposure across technical teams

Key Responsibilities

Design and implement deep learning models for multimodal content classification at scale
Develop and optimize ML solutions for image and video classification applications
Collaborate with cross-functional teams to integrate ML models into production systems
Monitor and optimize model performance across diverse data sources
Communicate technical findings to varied stakeholders

Requirements

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or related technical field

Experience

Not explicitly specified but implied mid-level experience

Required Skills

Python programming Deep learning frameworks (Pytorch, Tensorflow) Data manipulation tools (Pandas, NumPy, Spark) Machine learning fundamentals Communication skills Team collaboration
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Sauge AI Market Intelligence

Industry Trends

The ad tech industry is rapidly adopting AI solutions for content moderation and classification, indicating growing demand for ML specialists Multi-modal ML applications are becoming increasingly critical for digital advertising verification and brand safety Cloud-based ML infrastructure is becoming standard, with distributed computing gaining importance

Role Significance

Likely part of a specialized ML team of 5-10 engineers within a larger technical organization
Mid-level individual contributor with significant technical autonomy and cross-functional impact

Key Projects

Development of scalable content classification systems Implementation of video analysis ML pipelines Creation of real-time ad verification models Integration of multi-modal ML systems into production environments

Success Factors

Strong foundation in deep learning theory combined with practical implementation skills Ability to balance research-oriented work with production deployment requirements Effective communication skills to bridge technical and business stakeholders Experience with distributed computing and large-scale data processing

Market Demand

High demand with strong growth trajectory due to increasing focus on ad verification and brand safety technologies

Important Skills

Critical Skills

Deep learning expertise specifically in image and video processing Production-level Python development skills Experience with distributed computing systems Strong mathematical and statistical foundation

Beneficial Skills

Cloud platform expertise (AWS, GCP) Understanding of digital advertising ecosystem Experience with real-time processing systems Knowledge of content moderation techniques

Unique Aspects

Focus on multi-modal content classification provides exposure to diverse ML challenges
Direct impact on digital advertising industry standards and practices
Combination of research-oriented work with practical business applications

Career Growth

2-3 years in role before advancement, depending on project impact and technical growth

Potential Next Roles

Senior Machine Learning Engineer ML Technical Lead AI/ML Architect Technical Product Manager - ML Products

Company Overview

Integral Ad Science

Integral Ad Science is a leading global media measurement and optimization platform focusing on digital advertising quality and verification

Strong market position in the ad verification space with established enterprise clients and global reach
Strategic position in Paris targeting European market expansion with global operations support
Research-oriented environment with emphasis on innovation and technical excellence, balanced with practical business applications
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