# Senior AI Engineer

Hiring organization: [LeoLabs](https://career.thegoodapps.co/organizations/leolabs)

Canonical page: https://career.thegoodapps.co/jobs/b80a74b4-0245-4b50-81ff-53fcac8dbd56

Listed on LeoLabs's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: Remote
- Remote: yes
- Salary: 200000 – 200000 USD per year

## Summary

LeoLabs is hiring a Senior AI Engineer to build machine learning systems that process orbital radar data for space domain awareness and satellite operations. This role suits experienced ML practitioners who want to work on production systems with real-world national security impact, combining data engineering, model deployment, and agentic AI development.

_Our summary, not LeoLabs's wording._

## Skills named

Apache Kafka, Databricks, MLflow, Python, PyTorch, scikit-learn, SPARK, SQL, TensorFlow

## Required

- Eligible to obtain and maintain U.S. personnel security clearance
- B.S. or M.S. in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Physics, or equivalent experience
- 5-7 years in software engineering, machine learning engineering, or applied AI roles
- Current knowledge of Agentic AI developments
- Strong Python proficiency and modern ML frameworks
- Advanced SQL and large-scale data processing experience
- Proven production machine learning model development and deployment
- Experience with large-scale distributed data platforms
- Strong statistical modeling and machine learning algorithms knowledge
- Feature engineering pipeline and training workflow design and implementation
- MLOps practices including model versioning, monitoring, and lifecycle management
- Strong problem-solving and ability to translate real-world problems into scalable solutions
- Excellent communication skills with technical and non-technical stakeholders

## Nice to have

- Experience building Agentic AI systems for time-series, anomaly detection, or predictive modeling
- Databricks ML, MLflow, or similar ML lifecycle platform experience
- Production model deployment with real-time or near-real-time constraints
- Background with sensor, telemetry, or geospatial/orbital datasets
- Experience mentoring junior data scientists or leading technical initiatives
- Streaming data systems experience
- Background in orbital mechanics, aerospace, physics, or applied mathematics
- Active U.S. security clearance

Apply on LeoLabs's site: https://job-boards.greenhouse.io/leolabsinc/jobs/4221481009