AI / ML Manager

Job Description

Job Description

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 241,000 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.

LeoLabs is seeking a hands-on AI / ML Manager to design, develop, and deploy machine learning solutions that enhance our products and drive measurable business outcomes. You will lead a small AI / ML team within the Insights group, a collaborative, high-impact team of 10 engineers and a key part of our broader, 30-person software engineering organization.

This role is ideal for an experienced engineer who can blend technical depth and team leadership - someone who can architect scalable AI systems, mentor engineers, while remaining deeply involved in model development, experimentation, and production integration. You will partner cross-functionally with product, data, and software teams to turn business challenges into production-ready ML solutions.

What You’ll Do :

• Lead by doing  – Design, build, and deploy production-grade ML models and pipelines while mentoring a small team of engineers and data scientists.
• Architect scalable AI systems  –   Build end-to-end AI solutions from data ingestion through inference, ensuring reliability, observability, and performance across distributed environments.
• Collaborate cross-functionally  – Work closely with product, data, and platform engineering teams to translate complex business challenges into ML-driven solutions.
• Own the ML lifecycle  – Oversee model training, validation, deployment, and continuous monitoring using modern MLOps practices and tooling.
• Experiment and innovate  – Apply state-of-the-art machine learning and generative AI techniques to improve product capabilities and customer outcomes.
• Establish best practices –  Set standards for reproducible research, model explainability, and responsible AI implementation.
• Optimize performance  –  Tune models and infrastructure for  accuracy, latency, and cost.
• Provide technical leadership and mentorship  –   Guide architectural decisions, design reviews, and technical standards.
• Communicate Impact  – Present insights to technical and non-technical stakeholders, influencing product strategy through data-driven recommendations.
• Stay ahead of the curve  – Evaluating emerging ML frameworks, architectures, and tools to accelerate innovation

Qualifications :

Preferred qualifications :

Within 1 month, you’ll :

Within 3 months, you’ll :

Within 6 months, you’ll :

Within 12 months, you’ll :

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

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