Etegent is addressing a range of opportunities in technology areas such as machine learning, intelligence sensor data exploitation for critical national defense needs, high performance computing, high performance motion control, high temperature sensing, and software engineering.

In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings. 7+ years of relevant experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience.

Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA. Job Description: Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.

Master's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 5+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.

CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and medical image analysis. Preferred Experience: Experience with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred.

Masters or Ph. D. in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field, with a specific focus on natural language processing (NLP), large language models, or deep learning techniques.

Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.

As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible.

As an AI/ML Engineer, you’ll be at the forefront of integrating artificial intelligence and machine learning techniques into our EDA tools. Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn.

SiriusXM is looking for a senior applied science leader to join our Science and Machine Learning. 10+ years of relevant experience in research and development of machine learning systems and algorithms including 3+ years leading teams in search domain.

Foster a culture of innovation, impact, collaboration and inclusion within your team and the broader Science and Machine Learning organization. Drive technical innovation through active research and application of state of the art machine learning and algorithmic technologies.

Collaborate with the engineering team on implementation and deployment of new algorithms and machine learning models to production. Lead, manage and inspire a team of applied scientists to develop algorithms and machine learning models to improve search quality across our consumer facing products.

Experience with ML/AI algorithms, deep learning, or natural language processing (NLP). Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization.

SiriusXM's platforms collectively reach approximately 150 million listeners, the largest digital audio audience across paid and free tiers in North America, and deliver music, sports, talk, news, comedy, entertainment and podcasts.

The Company's advertising sales organization, which operates as SiriusXM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers.