Machine Learning Engineer

• Satellite Capacity Optimization & Planning Viasat, Inc.
• 3.8 Carlsbad, CA Job Details Full-time $140,500
• $261,000 a year 10 hours ago Qualifications AI models Containerization systems Application systems Predictive modeling analysis AI platforms (beyond public GPTs) Computational framework SQL Production systems Machine intelligence Model deployment Geospatial data visualization Implementing APIs Cloud Native Design Machine learning (ML) fundamentals Machine learning frameworks Data visualization projects Database software proficiency Full Job Description About us: 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. What you'll do: You will be a hands-on ML engineer building platforms and tooling to optimize supply allocation across our global satellite fleet to meet customer demand, and provide business stakeholders with planning insights.

The day-to-day:

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 What you'll need: 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% What will help you on the job:

• 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 Salary range: $140,500.00
• $221,500.00 / annually. For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $174,000.00
• $261,000.

00/ annually : At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits.

EEO statement:

Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.