SpaceXAI is building AI systems that push the frontier of human knowledge and scientific discovery. High‑quality data is fundamental to every stage of that mission. Our Data team ensures that models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This role involves developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training.
Software Engineer - Data en SpaceXAI
Presencial - Palo Alto, CA
Más vacantes en SpaceXAISalary
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
- 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#ScalaGoAngularReactKubernetesRayAI training and orchestrationPostgreSQLIcebergClickhouseGrafanaSupersetVersion controlTestingContinuous integrationBuildDeploymentMonitoringStatisticsMachine learning algorithms and frameworks
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