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Engineering Manager, Data Science – AdTech
Fluent, Inc. Drive the Deep Learning Evolution: Lead the architectural transition from legacy tree-based models (XGBoost) to advanced Neural Network architectures (Deep Learning) for audience propensity, lookalike modeling, and real-time segmentation.
Tech Stack
Tools & technologiesPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Drive the Deep Learning Evolution: Lead the architectural transition from legacy tree-based models (XGBoost) to advanced Neural Network architectures (Deep Learning) for audience propensity, lookalike modeling, and real-time segmentation.
- Own Value-Based Bidding (ROAS): Evolve our bidding strategy from simple conversion prediction to sophisticated ROAS-based optimization, developing models that predict user value (LTV) to maximize client returns within dynamic auction environments.
- Champion Agentic AI & Automation: Spearhead the exploration and adoption of autonomous agentic workflows to enhance decisioning and operational efficiency, moving beyond static models to self-correcting systems.
- Build Production Deep Learning Systems: Oversee the end-to-end engineering of high-scale inference pipelines, including embedding layers, real-time feature stores, and low-latency serving infrastructure such as ONNX, TensorRT etc.
- Advance MLOps & Experimentation: Establish rigorous MLOps practices for model versioning and drift detection while shifting further into multi-armed bandit strategies (Exploration vs. Exploitation) that optimize directly for business outcomes (Revenue/GP) rather than just model metrics.
- Lead and grow the Data Science team: hiring, mentoring, performance management, and career development.
- Partner with Product and Client Success to translate business requirements into ML solutions and communicate model capabilities.
- Coordinate with Data Platform team to ensure reliable data foundations and feature pipelines for modeling.
- Translate complex ML concepts into actionable insights for business stakeholders and executives.
- Set technical direction and foster a culture of innovation, rigor, and continuous improvement.
Requirements
What you’ll need- PhD (preferred) or Master’s Degree in Computer Science, Mathematics, or other Quantitative Field.
- 8+ years of experience in Data Science or ML Engineering, with at least 2 years managing or leading technical teams.
- AdTech Deep Learning Architecture Expertise: Deep hands-on experience with modern ranking and retrieval architectures (e.g., DLRM, DCNv2, Two-Tower), with a focus on multi-objective learning (MMoE) to jointly optimize for clicks, conversions, and revenue.
- Strategic Ownership of Agentic AI: Demonstrated passion for and aptitude in defining the roadmap for autonomous agentic systems. You must be ready to learn, champion, and own the evolution from static RAG to production-grade agentic orchestration.
- Real-Time Inference & Engineering: Experience deploying complex models into high-throughput, low-latency production environments (familiarity with ONNX, TensorRT, or feature stores).
- Commercial & Business Acumen: Ability to translate improved model performance (AUC/LogLoss) into tangible business metrics (GP, RPM) and prioritize R&D efforts based on ROI and unit economics.
- Strong Python skills with a focus on Deep Learning frameworks (PyTorch, TensorFlow) as well as traditional ML libraries (XGBoost, scikit-learn).
- Proven people management skills: Experience hiring, mentoring, and developing high-performing data science talent.
- Excellent communication skills for translating technical concepts to business stakeholders and executives.
Benefits
Comp & perks- Competitive compensation
- Ample career and professional growth opportunities
- New Headquarters with an open floor plan to drive collaboration
- Health, dental, and vision insurance
- Pre-tax savings plans and transit/parking programs
- 401K with competitive employer match
- Volunteer and philanthropic activities throughout the year
- Educational and social events
- The amazing opportunity to work for a high-flying performance marketing company!
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Deep LearningNeural NetworksMLOpsPythonXGBoostPyTorchTensorFlowONNXTensorRTMulti-armed Bandit
Soft Skills
people managementmentoringcommunicationleadershipstrategic ownershipinnovationperformance managementcollaborationtranslating technical conceptscareer development
Certifications
PhD in Computer ScienceMaster’s Degree in MathematicsMaster’s Degree in Quantitative Field