Software Engineer - Data

USD 150,000-250,000 per year

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Algorithms @ 3 Angular @ 3 ClickHouse @ 3 Data Engineering @ 3 Data Science @ 3 Go @ 3 Grafana @ 3 Java @ 3 JavaScript @ 3 Kubernetes @ 3 Machine Learning @ 3 PostgreSQL @ 3 Python @ 3 React @ 3 Rust @ 3 Scala @ 3 Statistics @ 3

Details

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. The Data team ensures models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle.

As a Software Engineer on the Data team, you will develop applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training. You will provide the ability to run training in a reliable, scalable, and repeatable manner, including visibility on training status and data lineage. You will work closely with acquisition teams, ML engineers, and data engineers to build a reliable data pipeline to run training at scale.

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

Requirements

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

Preferred Skills and Experience

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