Senior Software Engineer - AI/ML
Listed on 2025-12-02
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
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.
Whatyou'll do
The role focuses on building and evolving AI/ML-driven software solutions. You will be a key contributor within a dynamic team of data scientists and machine learning engineers, responsible for the full lifecycle of our AI/ML-based systems and services. Your work will directly enable the creation and maintenance of robust tools that deliver data-driven insights across various business areas.
The day-to-day- Leading object-oriented software development and design, primarily in Python.
- Building and optimizing robust data pipelines and services hosted in AWS and GCP.
- Design, implement, and maintain cloud infrastructure using Infrastructure as Code (IaC) established methodologies (e.g., Terraform, Cloud Formation).
- Collaborating closely with data scientists and ML engineers to put AI/ML models into production.
- Maintaining and promoting standard processes in CI/CD workflows for continuous integration and deployment.
- Providing automated reports and AI-derived insights to support various business areas.
- Actively participating in an Agile development environment, including planning, tracking, and reporting on progress.
- Partnering with team members to collect requirements and collaborate with them during the Agile development process.
- Bachelor's Degree or higher in Computer Science, Software Engineering, Machine Learning, Data Science, or a related technical field.
- At least 6 years of professional software development experience, with a strong emphasis on Python.
- Proven expertise in object-oriented design and system-level architecture of AI/ML software systems.
- Extensive experience with cloud deployments and maintaining infrastructure in major cloud platforms (e.g., AWS, GCP, Azure), including services relevant to ML (e.g., AWS Sagemaker, GCP Vertex AI, Azure ML).
- Proficiency in Infrastructure as Code (IaC) tools (e.g., Terraform, Cloud Formation, Pulumi).
- Demonstrated experience with CI/CD tools and standard processes (e.g., Jenkins, Git Lab CI, Git Hub Actions).
- Experience deploying and maintaining machine learning models in production environments.
- Strong understanding of AI/ML concepts and experience working effectively with data scientists and machine learning engineers.
- Agile team development experience.
- Proficient communication abilities (both oral and written) to support technical and multi-functional cooperation.
- Ability to thrive in a collaborative, fast-paced environment.
- Experience in supporting business operations with data-driven solutions.
- US Citizenship required.
- Ability to travel up to 10%.
- Understanding of manufacturing and testing processes.
- Experience with test data analysis and visualization tool ecosystem
$ - $ / 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 $- $/ 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
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.
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