Machine Learning Engineer - Satellite Capacity Optimization & Planning

Viasat, Inc.•Carlsbad, CA

About The Position

One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.

Requirements

7+ years in ML/optimization roles
Strong background in optimization techniques (linear programming, constraint satisfaction, etc.)
Experience building production ML systems in cloud environments (AWS/GCP)
Experience with ML frameworks (TensorFlow, PyTorch, or equivalent)
Skilled at building geospatial visualizations and telling data-driven stories
Cloud-native containerized application development experience
Proficient in SQL
Comfortable building and maintaining RESTful APIs
Ability to travel up to 10%

Nice To Haves

Experience in satellite communications domain - link budgets, orbital mechanics
Production reinforcement learning systems experience
Airflow, Athena, BigQuery
Experience with ECS, Batch, or similar orchestration tools

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 demand/supply modeling strategy and validate feasibility of optimization approaches
Build and maintain APIs that expose ML capabilities to downstream consumers