
Senior AI Engineer
LeoLabs
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
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