AI Scientist – AdTech
Listed on 2026-06-27
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering, Data Science Manager
AI Scientist – Ad Tech
Menlo Park, CA AI Engineer with 6–10 years of experience designing and deploying scalable AI/ML solutions for AdTech platforms covering targeting, bidding, personalization, attribution, and real-time analytics. The role requires strong engineering fundamentals with hands-on ML model development, data pipelines, and real-time decision systems, leveraging modern distributed and cloud-based architectures.
Key Responsibilities- Develop and deploy AI/ML models for:
- Audience targeting & segmentation
- Ad ranking & bidding optimization
- Attribution & campaign performance modelling
- Fraud detection & anomaly detection
- Build and optimize end-to-end ML pipelines:
- Data ingestion, feature engineering, training, and inference
- Batch & real-time model serving
- Design real-time decisioning systems for high-throughput, low-latency environments.
- Collaborate with data engineers and architects to ensure:
- Scalable data pipelines (ETL/ELT, streaming)
- High-quality feature stores and model lifecycle management
- Drive experimentation frameworks (A/B testing, causal inference) to continuously optimize performance metrics.
- Ensure privacy-aware and compliant AI solutions aligned with data governance frameworks.
- Bachelor's/Master's in Computer Science, Data Science, AI/ML, or related field.
- 6–10 years of experience in AI/ML engineering / Data Science engineering roles.
- Strong programming skills in:
- Python (mandatory)
- Java or C++ (preferred)
- Hands-on experience in:
- ML frameworks (Tensor Flow, PyTorch, XGBoost)
- Distributed processing (Spark, Flink)
- Streaming systems (Kafka)
- SQL & No
SQL databases - Experience building production-grade ML pipelines and scalable data systems
- Experience in AdTech / Mar Tech / Retail Media ecosystems
- Exposure to:
- Recommendation systems
- Real-time bidding systems
- Experimentation platforms / A/B testing
- Familiarity with:
- Kubernetes, Docker, microservices
- Privacy and regulatory frameworks (GDPR, data compliance)
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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