Data Preprocessing Jobs in California (NOW HIRING)

The role involves researching and prototyping advanced RAG techniques, implementing Agentic AI patterns, and collaborating on data preprocessing pipelines. Responsibilities : • Research and ...

Build high-throughput pipelines for vision data preprocessing (frame extraction, resolution normalization, format conversion, latent caching). * Implement GPU-accelerated augmentation and distributed ...

Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models. * Optimize ...

Experience, developed real-time data processing system using Scala, Kafka and Apache Spark. Implemented Spark jobs using Scala for data preprocessing, validation, normalization and transmission.

Data Preprocessing & Feature Engineering - 3+ years. * Model Evaluation Techniques - 3+ years. * Version Control (Git) - 2+ years. * ML Lifecycle / Model Management - 2+ years. Responsibilities:

Experience with feature engineering, data preprocessing, and data manipulation libraries (Pandas, NumPy, Spark). * Demonstrated experience building or working with ranking models (learning-to-rank ...

Expertise in data preprocessing, feature engineering, and advanced model evaluation techniques (e.g., A/B testing, causal inference). Preferred: * Master's or PhD in a Science or Engineering field.

Experiencewith data preprocessing, feature engineering, and model evaluationtechniques. * Knowledgeof deep learning architectures (CNNs, RNNs, Transformers) and theirapplications. * Proficiencyin ...

Conduct data preprocessing, feature engineering, model evaluation, and performance tuning.Build robust, modular, and Minimum years of experience*: 8-10 years

Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models. * Optimize ...

Key responsibilities include preprocessing data for analysis, performing complex data analysis, manuscript writing, publishing research findings in peer-reviewed journals, and mentoring junior ...

Key responsibilities include preprocessing data for analysis, performing complex data analysis, manuscript writing, publishing research findings in peer-reviewed journals, and mentoring junior ...

The role involves data collection, preprocessing, quality assurance, and collaboration with cross-functional teams to enhance the machine learning pipeline and support geotypical production.

Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment. Drive initiatives independently with high ownership and accountability.

Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment. * Drive initiatives independently with high ownership and accountability.

Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment. Drive initiatives independently with high ownership and accountability.

Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment. * Drive initiatives independently with high ownership and accountability.

... manage data preprocessing, training runs, evaluation sweeps, and result synthesis • Go deep: push the frontier of domain-specific AI -- conduct rigorous, first-principles research into model ...

Build and optimize end‑to‑end training pipelines, including data preprocessing, distributed training, and experiment tracking * Tune and evaluate model performance through systematic ...

It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.