Senior AI Engineer

LeoLabs

Senior AI Engineer developing machine learning solutions for real-time space domain awareness. Leading AI initiatives at LeoLabs with a focus on production-grade model deployment.

Posted 4/15/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Play a critical role in designing, building, and operating AI- and machine learning-powered systems
Develop scalable pipelines, deploying models into production, and integrating 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, monitoring, and continuous improvement
Contribute to model evaluation, analysis, or incremental improvements
Act as a technical leader in applied AI/ML within the Insights team
Drive adoption of best practices in model development, MLOps, and reproducibility.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmachine learningMLOpsSQLPyTorchTensorFlowscikit-learnstatistical modelingfeature engineeringdata processing

Soft Skills

problem-solvingcommunicationtechnical leadershipinfluencing stakeholders

Certifications

M.S. in Computer ScienceM.S. in Artificial IntelligenceM.S. in Machine LearningM.S. in EngineeringM.S. in MathematicsM.S. in Physics