Senior AI Engineer

leolabsinc; Deutschland; Hybrid; EUR 172.000 - 215.000; Vollzeit

Benefits dieser Stelle

Global remote/hybrid opportunities

Meaningful missions

Unlimited PTO

Competitive salary and equity

Health, dental, vision coverage

Access to frontier of space ops

Zusammenfassung

LeoLabs is seeking a Senior AI Engineer to design, build, and operate AI-powered systems enabling real-time space domain awareness and customer insights. You’ll own end-to-end AI solutions from data pipelines to model deployment, leveraging Agentic AI to advance space operations.

Join a mission-driven team with opportunities across data engineering, software engineering, and ML. This role offers flexible remote/hybrid work and a competitive compensation package.

Qualifikationen

• 5–7 years of experience in software engineering, ML engineering, or applied AI roles.
• Up-to-date familiarity with Agentic AI developments.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with SQL and large-scale data processing.
• Production-grade ML model development and deployment experience.

Aufgaben

• Complete onboarding to gain deep familiarity with LeoLabs’ mission, products, and data ecosystem.
• Set up development environments and ML tooling within Databricks platform.
• Review existing data pipelines, feature engineering workflows, and deployed models.
• Begin contributing to model evaluation, analysis, or incremental improvements.

Kenntnisse

Python

ML frameworks

Agentic AI

SQL

Distributed data

Model deployment

MLOps

Communication

Ausbildung

B.S./M.S. in CS/AI/ML/Engineering/Math/Physics

Tools

Databricks

Spark

MLflow

Jobbeschreibung

Why LeoLabs?

At LeoLabs, we’re building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions.

We’re not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations.

If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here.

The Opportunity

We are seeking an experienced and mission-driven Senior AI Engineer to join LeoLabs’ growing Insights team. You will play a critical role in designing, building, and operating AI- and machine learning-powered systems that enable real-time space domain awareness and drive customer-facing insights.

You will work at the intersection of machine learning, data engineering, and software engineering—developing scalable pipelines, deploying models into production, and integrating AI capabilities into operational systems. This includes transforming large-scale sensor and orbital datasets into intelligent systems that detect atterns, identify anomalies, and generate predictive insights.

This role is highly hands-on and systems-oriented, with a focus on helping to define and drive LeoLabs’ utilization of the latest Agentic AI technology. You will own the full lifecycle of AI solutions—from data and feature pipelines to model deployment, monitoring, and continuous improvement—while helping define best practices for applied AI across LeoLabs.

Qualifications

• Must be eligible 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 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

Preferred Qualifications

• Experience building Agentic AI systems for time-series, anomaly detection, or predictive modeling
• Familiarity with Databricks ML, MLflow, or similar ML lifecycle platforms
• Experience deploying models into production systems with real-time or near-real-time constraints
• Background working with sensor, telemetry, or geospatial/orbital datasets
• Experience mentoring junior data scientists or leading technical initiatives
• Familiarity with streaming data systems (e.g., Kafka, Spark Structured Streaming)
• Background in orbital mechanics, aerospace, physics, or applied mathematics
• Active U.S. security clearance or ability to obtain one

Within 1 Month, You’ll

• Complete onboarding to gain deep familiarity with LeoLabs’ mission, products, and data ecosystem
• Set up development environments, data access, and ML tooling within the Databricks platform
• Review existing data pipelines, feature engineering workflows, and deployed models
• Begin contributing to model evaluation, analysis, or incremental improvements

Within 3 Months, You’ll

• Develop a strong understanding of LeoLabs’ data architecture, AI/ML use cases, and operational constraints
• Lead development of new models or enhancements to existing systems
• Design and implement feature pipelines and training datasets for key problem areas
• Partner with data engineering to improve data quality, scalability, and pipeline reliability

Within 6 Months, You’ll

• Own end-to-end delivery of AI/ML solutions, from problem framing through production deployment
• Deploy and monitor models in production, ensuring reliability and performance
• Optimize model performance through advanced feature engineering, tuning, and experimentation
• Mentor junior team members and contribute to team best practices

Within 12 Months, You’ll

• Act as a technical leader in applied AI/ML within the Insights team
• Drive adoption of best practices in model development, MLOps, and reproducibility
• Identify and lead high-impact Agentic AI initiatives that enhance space domain awareness capabilities

Compensation

The base salary range for this position is $200,000 + bonus + stock options + benefits

Compensation Note: The salary range for this position is benchmarked based on the designated primary work location for the role. Final compensation may vary depending on the selected candidate's work location, applicable market data, experience, qualifications, and other job-related factors.

Perks and 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

ITAR Requirements

• To conform to U.S.
• Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be eligible to obtain the required authorizations from the U.S.
• Department of State.
• More information regarding ITAR can be found at DDTC’s website.

Vendor Notification

LeoLabs does not engage external staffing agencies or third-party recruiting firms for this role. Unsolicited candidate submissions will not be considered.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.