Senior Software Engineer - Machine Learning

Job Description

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. Want to work in a company that runs like a startup even after 30 years? If yes, then try us. Job Responsibilities As a Machine Learning Engineer in our team, you will be responsible for: - Design and Develop machine learning models, algorithms, and libraries. - Collaborate with data engineers to develop data and model pipelines. - Analyze large and complex data sets to derive valuable insights. - Apply machine learning and data analytics/science techniques and design distributed systems. - Design, Develop, Review and Deploy production-level code. - Maintain and Improve existing machine learning models. - Oversee the entire lifecycle (research, design, experimentation, development. deployment, monitoring and maintenance) - Produce project outcomes and isolate issues. - Interact with and communicate complex processes and report results to business leaders. - Research and implement best practices to enhance existing machine learning infrastructure. Required Skills: - Bachelor’s or Master’s in Computer Science, Mathematics or Statistics - 8+ years of total experience with 3+ year of experience developing and training machine learning models in a framework such as TensorFlow, SciKit-Learn, PyTorch, CAFFE, or similar. - Experience in one or more “general purpose” programming languages such as, Python, R, C/C++ - Strong analytical and problem-solving skills - Strong written and verbal English language communication skills - Ability to travel up to 10% Preferred Skills: - Master’s degree or PhD in a Computer Science (CS), Artificial Intelligence (AI), Machine Learning (ML), or related technical field - Working with cloud computing services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. - Experience with large amounts of data in a high throughput environment and distributed computing. - Experience working with messaging tools like Kafka, RabbitMQ and ZeroMQ - Knowledge of machine learning evaluation metrics and standard methodologies To learn more about this site and other office locations, please click here !