Member of Technical Staff, Data Curation at INCEPTION ARTIFICIAL INTELLIGENCE L.L.C - O.P.C

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jun, 26

Salary

0.0

Posted On

10 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Curation, Data Pipelines, Synthetic Data Generation, LLM Training, Web Crawling, Data Ingestion, Data Storage, Data Retrieval, Data Versioning, Python, Apache Spark, Beam, Airflow, PyTorch, TensorFlow, SQL

Industry

technology;Information and Internet

Description

The Role We seek experienced engineers and scientists to shape how we collect, process, and curate the datasets that power our models. You'll combine engineering expertise with research insight to build scalable data pipelines, develop synthetic data generation techniques, and ensure our models are trained on high-quality, diverse data. Key Responsibilities * Develop data mixes for training LLMs, including by leveraging open-source datasets, synthetically generated data, and curated human feedback. * Design and implement data pipelines for processing petabyte-scale datasets. * Build systems for web crawling, data ingestion, and real-time data processing to support model training. * Develop tools and frameworks for efficient data storage, retrieval, and versioning across distributed systems. * Create evaluation frameworks to measure data diversity, quality, and representativeness. * Ensure data collection adheres to privacy regulations. Qualifications * BS/MS/PhD in Computer Science, Machine Learning, or a related field (or equivalent experience). * 3+ years of experience building data processing pipelines at scale, particularly with AI/ML applications. * Strong proficiency in Python and experience with data processing frameworks (Apache Spark, Beam, Airflow). * Familiarity with synthetic data generation techniques and data augmentation strategies. * Familiarity with web scraping, crawling technologies, and Common Crawl datasets. * Solid understanding of machine learning fundamentals and experience with ML frameworks (PyTorch, TensorFlow). * Experience with SQL and NoSQL databases for managing structured and unstructured data. Preferred Skills * Experience with large language models and understanding of tokenization, embeddings, and model architectures. * Experience managing human annotation workflows and quality control processes. * Experience with vector databases and embedding-based retrieval systems. * Knowledge of data privacy regulations and ethical AI practices. * Experience with distributed computing and large-scale data storage systems (HDFS, S3, BigQuery).

Responsibilities

The role involves shaping data collection, processing, and curation for powering models by developing data mixes for LLM training, including synthetic data and human feedback. Key tasks include designing and implementing petabyte-scale data pipelines and building systems for web crawling and real-time data processing.