Senior AI Engineer

Why LeoLabs? At LeoLabs we’re building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform we collect millions of measurements daily on more than 25000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets monitors adversarial behavior and ensures safe operations for commercial and government missions. We’re not just building technology we are redefining global security safety and transparency in space. As orbital activity accelerates and threats grow more complex LeoLabs is a trusted partner for Space Domain Awareness Space Traffic Management and Satellite Operations for top-tier space operators and allied defense organizations. If you're looking to work on mission-critical challenges at the forefront of aerospace national security and AI your impact starts here.

The Opportunity

We are seeking an experienced and mission-driven Senior AI Engineer to join LeoLabs’ growing Insights team. You will play a critical role in designing building and operating AI- and machine learning-powered systems that enable real-time space domain awareness and drive customer-facing insights. You will work at the intersection of machine learning data engineering and software engineering—developing scalable pipelines deploying models into production and integrating AI capabilities into operational systems. This includes transforming large-scale sensor and orbital datasets into intelligent systems that detect atterns identify anomalies and generate predictive insights. This role is highly hands-on and systems-oriented with a focus on helping to define and drive LeoLabs’ utilization of the latest Agentic AI technology. You will own the full lifecycle of AI solutions—from data and feature pipelines to model deployment monitoring and continuous improvement—while helping define best practices for applied AI across LeoLabs.

Qualifications

Must be eligible to obtain and maintain a 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 of experience in software engineering machine learning engineering or applied AI roles Up-to-date familiarity with the latest developments in Agentic AI Strong proficiency in Python and modern ML frameworks (e.g. PyTorch TensorFlow scikit-learn) Advanced experience with SQL and large-scale data processing Proven experience developing and deploying production-grade machine learning models Experience working with large-scale distributed data platforms (e.g. Databricks Spark) Strong understanding of statistical modeling machine learning algorithms and experimental design Experience designing and implementing feature engineering pipelines and training workflows Familiarity with MLOps practices including model versioning monitoring and lifecycle management Strong problem-solving skills and ability to translate ambiguous real-world problems into scalable AI solutions Excellent communication skills with the ability to influence technical and non-technical stakeholders

Preferred Qualifications

Experience building Agentic AI systems for time-series anomaly detection or predictive modeling Familiarity with Databricks ML MLflow or similar ML lifecycle platforms Experience deploying models into production systems with real-time or near-real-time constraints Background working with sensor telemetry or geospatial/orbital datasets Experience mentoring junior data scientists or leading technical initiatives Familiarity with streaming data systems (e.g. Kafka Spark Structured Streaming) Background in orbital mechanics aerospace physics or applied mathematics Active U.S. security clearance or ability to obtain one Within 1 Month You’ll Complete onboarding to gain deep familiarity with LeoLabs’ mission products and data ecosystem Set up development environments data access and ML tooling within the Databricks platform Review existing data pipelines feature engineering workflows and deployed models Begin contributing to model evaluation analysis or incremental improvements Within 3 Months You’ll Develop a strong understanding of LeoLabs’ data architecture AI/ML use cases and operational constraints Lead development of new models or enhancements to existing systems Design and implement feature pipelines and training datasets for key problem areas Partner with data engineering to improve data quality scalability and pipeline reliability Within 6 Months You’ll Own end-to-end delivery of AI/ML solutions from problem framing through production deployment Deploy and monitor models in production ensuring reliability and performance Optimize model performance through advanced feature engineering tuning and experimentation Mentor junior team members and contribute to team best practices Within 12 Months You’ll Act as a technical leader in applied AI/ML within the Insights team Drive adoption of best practices in model development MLOps and reproducibility Identify and lead high-impact Agentic AI initiatives that enhance space domain awareness capabilities

Compensation

The base salary range for this position is $200000 + bonus + stock options + benefits

Compensation

Note The salary range for this position is benchmarked based on the designated primary work location for the role. Final compensation may vary depending on the selected candidate's work location applicable market data experience qualifications and other job-related factors. Perks and

Benefits

Global workforce flexible remote/hybrid opportunities Work on complex meaningful missions with real-world impact Unlimited paid time off for most roles Competitive salary and equity packages Comprehensive health dental and vision coverage Access to the forefront of commercial space operations and defense innovation ITAR

Requirements

To conform to U.S. Government space technology export regulations including the International Traffic in Arms Regulations (ITAR) you must be eligible to obtain the required authorizations from the U.S. Department of State. More information regarding ITAR can be found at DDTC’s website. Vendor Notification LeoLabs does not engage external staffing agencies or third-party recruiting firms for this role. Unsolicited candidate submissions will not be considered. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.