Staff Machine Learning Engineer, Search Ranking
Palo Alto - 395 Page Mill Rd, United States
USD 195K-343K Senior-level Full Time
Tasks
- Analyze user behavior search logs and model performance to identify improvement opportunities
- Build ranking systems balancing relevance user satisfaction freshness diversity fairness safety latency and business goals
- Define success metrics and experimentation strategy with product managers data scientists and engineers
- Design offline evaluation online experimentation and model monitoring frameworks
- Develop ranking models using learning to rank neural ranking sequence models embeddings and multi task learning
- Improve feature pipelines training infrastructure and serving systems
- Lead machine learning model design for search ranking
- Own ranking initiatives from problem definition through experimentation launch and iteration
- Provide technical leadership mentor engineers and influence ML architecture decisions
- Stay current with advances in search recommendation ads ranking generative AI LLM based ranking and retrieval augmented systems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | ANN search | Apache Beam | Approximate Nearest Neighbor | B testing | C++ | Calibrated Prediction | Deep learning | Embeddings | Experimentation | Feature Engineering | Flink | JAX | Java | LLM | LLM Based Ranking | Language Models | Large Language Models | Learning-to-Rank | Machine Learning | Model Evaluation | Model Monitoring | Multi-task Learning | Nearest neighbor | Neural Networks | Neural ranking | Offline evaluation | Online Experimentation | Optimization | PyTorch | Python | Retrieval-Augmented Generation | Scala | Sequence Models | Spark | TensorFlow | Transformer | Vector Search
Education
Regions
Countries
States
Cities
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