July 28, 2023
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Carlsbad, CA, Remote
July 28, 2023
Apply NowJob 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
As a Machine Learning Engineer, you will be part of a diverse team of engineers developing next-generation, vertically coordinated products and services at Viasat. You will develop new, novel algorithms and techniques for analyzing sophisticated data sets collected during Viasat's product and service lifecycles. This position is responsible for defining and developing models that produce new inferences and enable action by adjacent teams. As part of the team, we will work with software engineers to build new tools, libraries, and services that can expand Viasat's ability to understand complex data sets. We are a growing team developing cloud-based solutions for solving problems found at the groundbreaking of technological development!
As an MLE with expertise in ML Ops, you will play a meaningful role in developing and deploying machine learning models at scale, ensuring smooth and efficient operations of our machine learning systems. You will collaborate with multi-functional teams, including data scientists, software engineers, and DevOps professionals, to deliver reliable, scalable, and production-ready machine learning solutions.
The day-to-day
$146,750.00 - $241,950.00 / 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 careers.viasat.com/LifeAtViasat/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.
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
As a Machine Learning Engineer, you will be part of a diverse team of engineers developing next-generation, vertically coordinated products and services at Viasat. You will develop new, novel algorithms and techniques for analyzing sophisticated data sets collected during Viasat's product and service lifecycles. This position is responsible for defining and developing models that produce new inferences and enable action by adjacent teams. As part of the team, we will work with software engineers to build new tools, libraries, and services that can expand Viasat's ability to understand complex data sets. We are a growing team developing cloud-based solutions for solving problems found at the groundbreaking of technological development!
As an MLE with expertise in ML Ops, you will play a meaningful role in developing and deploying machine learning models at scale, ensuring smooth and efficient operations of our machine learning systems. You will collaborate with multi-functional teams, including data scientists, software engineers, and DevOps professionals, to deliver reliable, scalable, and production-ready machine learning solutions.
The day-to-day
- Responsible for translating business requirements into both objectives and problems, to be solved using data science and machine learning optimization
- Architect, design, and build data analysis pipelines while working with large and complex data sets to supervise and analyze metrics
- Use statistical tools to design experiments and resolve causality
- Design and create predictive and decision-making algorithms for various business needs
- Understand and transform diverse data from many systems
- Present technical solutions to business partners using strong communication skills
- Ensure that the delivered software product remains operational and that fresh data is ingested continually
- 5+ years of proven experience in software development, machine learning, and/or distributed systems
- Experience with leading initiatives from inception to production
- Experience with Python/Spark, and dbt/SQL
- Experience working with diverse and disparate datasets
- Ability to communicate and present data to both technical & non-technical audiences
- Experience with productionizing ML Ops, familiarity with experiment tracking, infra, inference
- Establish comprehensive monitoring systems to supervise model performance, data quality, and system health.
- Analyze and interpret metrics to identify performance bottlenecks and areas for improvement.
- Implement strategies for continuous model evaluation and enhancement based on feedback and evolving business needs.
- Extensive experience in machine learning model deployment and management in a production environment.
- Strong knowledge of ML Ops principles, tools, and standard methodologies, including model versioning, containerization, and orchestration.
- Proficiency in programming languages such as Python and knowledge of relevant libraries and frameworks (e.g., Scikitlearn,TensorFlow, PyTorch).
- Solid understanding of cloud platforms (e.g., AWS preferred) and their machine learning services as well as open source solutions
- Bachelor degree in a highly quantitative field (Computer Science, Engineering, Statistics, Mathematics, Physics, a related field, or equivalent work experience)
- Master's degree is a plus
- Experience building ML/DL models & supporting infrastructure (training & inference)
- Experience with spatial/GIS processing (postgis, rasters/GDAL, pyproj, shapely)
- Experience with docker, ansible, airflow, AWS
- Knowledge of communication & networking protocols
- Experience with visualization frameworks such as plot.ly/D3, Matplotlib, Bokeh/Seaborn, or similar
$146,750.00 - $241,950.00 / 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 careers.viasat.com/LifeAtViasat/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.
