AI/ML Manager at LeoLabs

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, National Security, Space TechnologyIndustries

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

Responsibilities

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 – Evaluate emerging ML frameworks, architectures, and tools to accelerate innovation

Skills

Machine Learning

ML Models

ML Pipelines

Scalable AI Systems

Model Development

Experimentation

Production Integration

Team Leadership

Mentoring

Data Science

LeoLabs

Satellite tracking and collision avoidance services

About LeoLabs

LeoLabs offers critical information services to satellite operators and businesses in the low Earth orbit (LEO) sector through their LeoLabs Vertex™ platform. Their services include automated satellite tracking, collision avoidance, on-console support, and mission risk assessment, all designed to enhance the safety and success of space operations. LeoLabs stands out from competitors with its global phased array radar network that provides reliable data delivery across both hemispheres. The company's goal is to ensure efficient and safe space operations for its clients.

Menlo Park, CaliforniaHeadquarters

2016Year Founded

$108MTotal Funding

LATE_VCCompany Stage

Data & Analytics, AerospaceIndustries

51-200Employees

Risks

Increased competition from companies like Starfish Space challenges LeoLabs' market position.

Rapid radar tech development by competitors may outpace LeoLabs' current offerings.

Reliance on government contracts exposes LeoLabs to funding and policy change risks.

Differentiation

LeoLabs offers automated satellite tracking and collision avoidance services in low Earth orbit.

Their LeoLabs Vertex™ platform provides comprehensive space situational awareness services.

The global radar network ensures reliable data delivery across both hemispheres.

Upsides

Partnership with UK Space Command enhances LeoLabs' role in ISR satellite development.

U.S. Air Force funding boosts LeoLabs' next-gen radar technology for VLEO tracking.

NOAA contract extension strengthens LeoLabs' position in U.S. space traffic coordination.

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