Tanisha Systems, Inc.
Tanisha Systems, Inc.

AI Scientist

Menlo Park, CA, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Corp To Corp
Contract Independent
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

Summary

AI Scientist
Location - Menlo Park, CA (Onsite Day 1) Hybrid- 4 days WFO
Contract role
Immediate start

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.

Required Qualifications
  • 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 (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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117909
  • Position Id: 26-12921
  • Posted 1 day ago
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