Chalk

Chalk is a data platform for machine learning that enables innovative teams to focus on building unique products and models. The platform seamlessly handles data infrastructure with a developer-friendly experience. It simplifies feature pipeline development by using familiar Python libraries and tools, orchestrating functions into parallel pipelines executed on a Rust-based engine. Chalk provides built-in support for feature engineering workflows, eliminating the need for manual orchestration or managing external tools.

Chalk's core features include a unified feature repository, real-time preview deployments, and time-travel functionality for historical accuracy. It also provides low-latency serving, feature discovery, and auditing capabilities, ensuring data quality and model performance. The platform offers integrations with various data sources, including APIs, databases, and data warehouses. Chalk also supports large file processing, vector embeddings, and vector search for integrating generative AI with traditional machine learning.

Chalk offers a variety of job flexibility options, including remote work and office locations in San Francisco and New York City. Several job postings specifically state "Remote" or "Hybrid" work arrangements, allowing employees to choose the work environment that best suits them.

Chalk is a data platform that aims to make machine learning more accessible and efficient by providing developers with a unified feature store, powerful compute capabilities, and built-in observability tools. They streamline the process of building and deploying machine learning models by handling data infrastructure complexities and enabling teams to focus on creating unique products and solutions.

Chalk promotes a collaborative and innovative culture, emphasizing a strong sense of community and a passion for solving complex problems in the machine learning space. They value engineers and data scientists who are curious, driven, and enjoy working with cutting-edge technology. Their commitment to a best-in-class developer experience and a focus on building powerful tools for the industry foster a dynamic and results-oriented environment.

Chalk emphasizes building a diverse and inclusive workplace, attracting top engineers from a variety of backgrounds to solve cutting-edge problems in systems engineering, query planning and optimization, and distributed analytical data processing systems. They value a diverse team and believe that different perspectives and experiences contribute to a more innovative and impactful workplace.