LeoLabs

Senior AI Engineer

LeoLabs

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • 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

  • 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
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

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