IT@JH Research Computing is seeking a HPC Scientific Software Engineer to support faculty, researchers, and students engaged in high-performance and AI-driven research across Johns Hopkins University. The position is responsible for deploying, optimizing, and maintaining scientific
The Johns Hopkins Data Science and AI Institute (DSAI) is a pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning
WHY JOIN US? Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital
At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment
Job DetailsLevel: SeniorJob Location: Remote - Baltimore, MD 21244Education Level: 4 Year DegreeSalary Range: $120,000.00 - $155,000.00 Salary/yeara { text-decoration: none; color: #464feb;}tr th, tr td { border: 1px solid #e6e6e6;}tr th { background-color: #f5f5f5;}Position OverviewIndex
The pay range is $98,000.00 - $176,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to
Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at
The pay range is $132,000.00 - $286,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side