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Senior Staff Research Scientist, Technical Lead (AdTech/Recommendation Systems)

LinkedIn Cognitiv San Mateo, CA
Director Posted April 17, 2026 Job link
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Requirements
  • Core Tools – Python, PyTorch, deep learning architectures (transformers, recommendation models).
  • Traditional ML – XGBoost, PCA.
  • Big Data / Infra – Spark, Hadoop, distributed training systems.
  • Cloud Platforms – AWS, GCP, or Azure.
  • Bonus – C++.
  • Experienced Leader with Advanced Education: Master’s or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field, with 5–7+ years of experience in machine learning R&D.
  • Proven experience leading teams of researchers and senior ICs/PhDs while remaining 30–50% hands-on (coding, reviews, experimentation).
  • Deep Learning, LLMs & Model Tuning: Deep technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large-scale training and fine-tuning of deep neural networks.
  • Machine Learning Breadth: Strong understanding of both deep learning and traditional ML techniques (e.g., XGBoost, PCA), with the ability to apply the right approach to the right problem.
  • Engineering Excellence: Proficiency in Python with strong foundations in algorithms, data structures, and software engineering principles; experience building models in real-time, high-throughput systems (e.g., recommender systems, adtech).
  • Production Experience: Hands-on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark).
  • Strong Communicator: Excellent written and verbal communication skills, strong project management capabilities, and the ability to drive alignment in fast-paced, dynamic environments.
Preferred Skills
  • Bonus – C++.
  • AdTech & RTB Experience.
  • Prior exposure to advertising technology and real-time bidding (RTB) systems is a strong plus.
  • Distributed Systems & Cloud.
  • Familiarity with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
  • C++ Skills.
  • Strong C++ programming ability is a significant advantage alongside Python expertise.
  • Research & Community Impact.
  • A track record of published research or meaningful contributions to the machine learning community.
  • Bridging Research and Delivery.
  • Experience managing both exploratory research timelines and production-grade delivery cycles.
Education
  • (Not required) – Experienced Leader with Advanced Education: Master’s or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field, with 5–7+ years of experience in machine learning R&D.