Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Fluent, Inc

Engineering Manager, Data Science – AdTech

Fluent, Inc

Engineering Manager overseeing Data Science team and driving ML solutions in AdTech space at Fluent. Leading development of advanced analytics and deep learning architecture to maximize client success.

Posted 5/22/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $180,000 - $225,000 per yearWebsite

Tech Stack

Tools & technologies
PythonPyTorchScikit-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

✓ Tailor your resume
Applicant Tracking System Keywords

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