AI Scientist
Job Location:
Job Location:
Menlo Park, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
8 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
Required Qualifications
- Bachelors/Masters 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 (TensorFlow PyTorch XGBoost)
- Distributed processing (Spark Flink)
- Streaming systems (Kafka)
- SQL & NoSQL databases
- Experience building production-grade ML pipelines and scalable data systems
Preferred Qualifications
- Experience in AdTech / MarTech / 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)
