Senior AI Engineer (Aerospace)

Location: Remote. Must be eligible to obtain and maintain a U.S. personnel security clearance.

Company

hirify.global develops radar-powered space domain awareness, space traffic management, and satellite operations technology for commercial and government missions.

What you will do

• Design, build, and operate AI- and machine learning-powered systems for real-time space domain awareness.
• Develop scalable data, feature engineering, and training pipelines for large-scale sensor and orbital datasets.
• Deploy, monitor, and continuously improve production-grade machine learning models.
• Integrate AI capabilities into operational systems that detect patterns, identify anomalies, and generate predictive insights.
• Lead Agentic AI initiatives and establish applied AI, MLOps, and reproducibility best practices.
• Collaborate with data engineering, influence technical and non-technical stakeholders, and mentor junior team members.

Requirements

• Eligibility 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.
• Strong proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Advanced SQL and large-scale data processing experience, including distributed platforms such as Databricks or Spark.
• Experience developing and deploying production-grade models, feature pipelines, training workflows, statistical models, and MLOps lifecycle practices.

Nice to have

• Experience building Agentic AI systems for time-series analysis, anomaly detection, or predictive modeling.
• Familiarity with Databricks ML, MLflow, Kafka, or Spark Structured Streaming.
• Experience with real-time or near-real-time model deployment and sensor, telemetry, geospatial, or orbital datasets.
• Background in orbital mechanics, aerospace, physics, or applied mathematics.
• Active U.S. security clearance, mentoring experience, or experience leading technical initiatives.

Culture & Benefits

• Flexible remote and hybrid opportunities across a global workforce.
• Mission-critical work in commercial space operations, defense innovation, and global security.
• Unlimited paid time off for most roles.
• Competitive salary and equity packages.
• Comprehensive health, dental, and vision coverage.