Jobs in Dublin, CA

About the role

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis. You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end. You will work closely with other researchers and engineers to empower our next generation of domain-specific models. We value rapid prototyping, iterating, and shipping new systems quickly.

What you'll bring

• BS/MS/PhD in Computer Science or a related field.
• Proficiency in at least one deep learning framework, such as PyTorch.
• Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem.
• Strong expertise in large stateful distributed systems and data processing.
• Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes).
• Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code.
• Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality.
• Experience in building large-scale datasets.
• Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch).
• Building bespoke data processing libraries from scratch.
• Keeping up with state-of-the-art techniques for preparing AI training data.
• Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.