Note: The job is a remote job and is open to candidates in USA. LeoLabs is building the living map of activity in space through their global radar network and AI-enabled analytics platform. They are seeking a Senior AI Engineer to design and operate AI systems for space domain awareness, focusing on machine learning, data engineering, and software engineering.
Responsibilities
- Designing, building, and operating AI- and machine learning-powered systems that enable real-time space domain awareness and drive customer-facing insights
- Developing scalable pipelines, deploying models into production, and integrating AI capabilities into operational systems
- Transforming large-scale sensor and orbital datasets into intelligent systems that detect patterns, identify anomalies, and generate predictive insights
- Owning the full lifecycle of AI solutions—from data and feature pipelines to model deployment, monitoring, and continuous improvement
- Defining best practices for applied AI across LeoLabs
Skills
- 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
- 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
Benefits
- Globalworkforce:flexibleremote/hybridopportunities
- Workoncomplex,meaningfulmissionswithreal-worldimpact
- Unlimitedpaidtimeoffformostroles
- Competitivesalaryandequitypackages
- Comprehensivehealth,dental,andvisioncoverage
- Accesstotheforefrontofcommercialspaceoperationsanddefenseinnovation
Company Overview