Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

LeoLabs Logo

AI/ML Manager

LeoLabs

Salary not specified
Nov 7, 2025
San Francisco, CA, United States of America
Apply Now

LeoLabs is seeking an AI/ML Manager to design, develop, and deploy machine learning solutions that enhance their products and drive measurable business outcomes, addressing the growing complexity of orbital activity and the need for advanced Space Domain Awareness and Space Traffic Management.

Requirements

  • 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).
  • Familiarity with orbital mechanics concepts (e.g., TLEs, ephemerides, conjunction analysis, or space object classification).
  • Experience integrating LLMs, transformers, or generative AI solutions into production systems.
  • Familiarity with vector databases, retrieval-augmented generation (RAG), or AI agent frameworks.

Responsibilities

  • Design, build, and deploy production-grade ML models and pipelines while mentoring a small team of engineers and data scientists.
  • Build end-to-end AI solutions from data ingestion through inference, ensuring reliability, observability, and performance across distributed environments.
  • Oversee model training, validation, deployment, and continuous monitoring using modern MLOps practices and tooling.
  • Apply state-of-the-art machine learning and generative AI techniques to improve product capabilities and customer outcomes.
  • Set standards for reproducible research, model explainability, and responsible AI implementation.
  • Tune models and infrastructure for accuracy, latency, and cost.
  • Guide architectural decisions, design reviews, and technical standards.

Other

  • 6+ years in software engineering, data science, or applied machine learning.
  • 2+ years managing technical teams.
  • Demonstrated leadership, mentorship, and project execution skills.
  • Excellent communication and technical documentation skills.
  • Eligibility for US security clearance.