SpaceXAI is a small, highly motivated team focused on engineering excellence and building AI systems that push the frontier of human knowledge. The Data team ensures models are trained on the right data, handling acquisition, preparation, training, quality evaluation, and delivery at scale. Working closely with acquisition teams, ML engineers, and data engineers, the role involves developing applications that power data pipelines, provide visibility on training status, and maintain reliability and scalability for large‑scale model training.
Software Engineer - Data at SpaceXAI
Palo Alto, CA
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USD 150,000 - 250,000
Requirements
Skills
- Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
- 1+ years of experience in application development, software engineering, data engineering, or data science
- Programming experience in Python, Rust, Java, C#, Scala, Go or similar languages
- Frontend experience in Angular, React, or similar JavaScript frameworks
- Hands-on experience with Kubernetes and containerized deployments
- Experience with Ray, AI training and orchestration
- Experience with relational and non-relational databases, data lakes e.g. PostgreSQL, Iceberg, Clickhouse, or similar
- Experience with data exploration tools like Grafana, Superset, or similar
- Good understanding of version control, testing, continuous integration, build, deployment and monitoring
- Good understanding of statistics, machine learning algorithms and frameworks
Responsibilities
- Develop a highly reliable and scalable enterprise data platform to orchestrate data acquisition, preparation, training, quality evaluation, and delivery for model training
- Create new features such as data lineage, visibility, and monitoring for end-to-end training that improve the quality of the data and model performance
- Collaborate with peers on architecture, design, and code reviews
- Build prototypes to prove out key design concepts and quantify technical constraints
- Own all aspects of software engineering and product development
- Deep dive into business problems, find efficient solutions and apply first principles thinking
Technologies
PythonRustJavaC#ScalaGoAngularReactKubernetesRayPostgreSQLIcebergClickhouseGrafanaSupersetVersion controlContinuous integrationBuildDeploymentMonitoringStatisticsMachine learning algorithms
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