Lead ML Engineer – Satellite Capacity Optimization

Viasat; Carlsbad (CA); On-site; USD 141,000 - 261,000; Full time

Job summary

Viasat is seeking an experienced ML Engineer to design and optimize supply allocation across our global satellite fleet. You will build production ML systems in cloud environments and develop tools for dynamic optimization, delivering planning insights to stakeholders.

You will collaborate with SMEs to validate optimization approaches, create geospatial visualizations, and expose ML capabilities via robust RESTful APIs. Travel up to 10% may be required.

Qualifications

• 7+ years in ML/optimization roles.
• Strong background in optimization techniques (linear programming, constraint satisfaction).
• Experience building production ML systems in cloud environments (AWS/GCP).
• Experience with ML frameworks (TensorFlow, PyTorch).
• Skilled at building geospatial visualizations and telling data‑driven stories.
• Proficient in SQL and RESTful APIs.
• Ability to travel up to 10%.

Responsibilities

• Develop models, optimizations, and tools for dynamic supply‑demand optimization scenarios.
• Contribute to geospatial visualizations and data‑driven storytelling for planning insights.
• Build and maintain production ML systems in cloud‑native, containerized environments.
• Collaborate with SMEs and stakeholders to understand requirements and validate optimization approaches.
• Implement and iterate on demand/supply modeling strategy and validate feasibility of optimization approaches.
• Build and maintain APIs that expose ML capabilities to downstream consumers.

Skills

ML/Optimization

Optimization techniques

Geospatial visualizations

RESTful APIs

SQL

Cloud-native development

Travel readiness

Tools

TensorFlow

PyTorch

AWS

GCP

ECS

Job description

Viasat is seeking an experienced ML Engineer to design and optimize supply allocation across our global satellite fleet. You will build production ML systems in cloud environments and develop tools for dynamic optimization, delivering planning insights to stakeholders.

You will collaborate with SMEs to validate optimization approaches, create geospatial visualizations, and expose ML capabilities via robust RESTful APIs. Travel up to 10% may be required.