Senior AI Engineer
New
L
LeoLabs, Inc.Aerospace, Space Domain
Location: RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5-7 years of experience in software engineering, machine learning engineering, or applied AI roles
- Required Skills
- PythonSQLMachine LearningPyTorchSparkTensorflowDatabricksscikit-learnMLOps
Requirements
- 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.
Responsibilities
- Design, build, and operate AI and machine learning-powered systems that enable real-time space domain awareness.
- Develop scalable pipelines, deploy models into production, and integrate AI capabilities into operational systems.
- Transform large-scale sensor and orbital datasets into intelligent systems that detect patterns, identify anomalies, and generate predictive insights.
- Own the full lifecycle of AI solutions from data and feature pipelines to model deployment and monitoring.
- Define and drive the utilization of Agentic AI technology and best practices for applied AI across the team.
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