About The Role

Join our Signals and Systems group as a Machine Learning Engineer, where you will develop machine learning solutions to enhance performance in wireless communication systems. Your work will directly impact our customers and the entire lifecycle of workflows that affect people's lives. You will manage inputs from various sources, collaborate with UX designers and infrastructure engineers, and stay current with the latest machine learning research. Benefits include flexible work models, paid time off, health care benefits, and more.

Développer des solutions d'apprentissage automatique pour améliorer les performances des systèmes de communication sans fil.
Gérer les entrées provenant de sources inhabituelles, y compris les captures de radio définie par logiciel (SDR).
Collaborer avec des concepteurs UX, des ingénieurs en infrastructure et d'autres scientifiques de la recherche pour développer des prototypes.
Strong mathematics background, particularly in linear algebra and probability
4+ years experience as a machine learning engineer
Strong written and oral communication skills
Strong foundation in supervised and unsupervised learning and statistical modeling
Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow
Advanced degree in a quantitative field such as electrical and computer engineering, physics, mathematics or statistics
Familiarity with relational and NoSQL databases
Familiarity with RF signal processing and SDR for signals intelligence or electronic warfare
Familiarity with cloud-based infrastructure: Azure and/or AWS
Experience tracking projects with Jira, Azure DevOps or similar tooling
Experience with Linux, DevOps (command line)
Experience with containerized infrastructure (Docker, Kubernetes)
Familiarity with regulated environments, such as sovereign clouds
Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract
Bachelor degree with 4+ years experience as a machine learning engineer
AND 2+ years of Python and PyTorch or TensorFlow experience

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