AI/ML Manager

November 7

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

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LeoLabs

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Aerospace • Enterprise • Government

LeoLabs is a leading company that provides advanced space operations services, crucial for the management of low Earth orbit (LEO) traffic and safety. Utilizing cutting-edge technology like their Vertex™ space operations stack, LeoLabs offers comprehensive solutions such as satellite tracking, collision avoidance, and risk assessment. These services are vital for satellite operators, commercial enterprises, and government agencies around the world, ensuring the safe and efficient launch and operation of missions in space. LeoLabs' global radar network provides real-time tracking and insights, making them a trusted partner in space mission support and space debris management.

51 - 200 employees

Founded 2016

🚀 Aerospace

🏢 Enterprise

🏛️ Government

📋 Description

• 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

🎯 Requirements

• Bachelor’s degree in computer science, Applied Mathematics, Physics, or a related technical field. • 6+ years in software engineering, data science, or applied machine learning. • 2+ years managing technical teams. • Proven experience building and deploying ML models using Python, PyTorch, TensorFlow, or similar frameworks. • Experience with data pipelines and orchestration tools (e.g., Databricks). • Strong background in sensor data processing, time-series analysis, and computer vision or tracking algorithms. • Experience deploying ML models in production environments, including cloud or containerized deployments (AWS GovCloud, Azure Gov, or on-prem). • Demonstrated leadership, mentorship, and project execution skills. • Excellent communication and technical documentation skills. • Eligibility for US security clearance.

🏖️ 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