Top Machine Learning Jobs
As a Senior ML/Research Scientist at NextSense, you will develop state-of-the-art wearable neurotechnologies, conduct innovative research, and apply machine learning and signal processing techniques to analyze biosignals and develop digital biomarkers for neurological conditions. You will collaborate with a team to translate research into practical applications and engage in writing scholarly publications.
As an AI Research Scientist at Cognex, you'll research, design, and deploy deep learning algorithms for industrial machine vision applications. You will innovate to solve real-world problems, working with machine vision experts to translate business needs into prototypes and enhance technology accessibility for non-experts.
The Senior AI Research Scientist will conduct research on advanced AI topics, publish findings, develop and refine prototypes, evaluate AI models, monitor trends in Generative AI, and mentor junior researchers. The role involves applying AI methodologies to asset management and other sectors.
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The Machine Engraver is responsible for setting up and operating engraving machines, interpreting blueprints, performing different types of engraving with close tolerance, and maintaining tools and equipment. The role also includes inspecting rolls and assisting in the training of new workers.
The Principal ML Engineer will build and deploy scalable machine learning models, develop web applications for data insights, and collaborate with cross-functional teams to deliver impactful data-driven solutions. Responsibilities also include providing consulting services for data-driven decision-making.
AI Scientists at HHMI develop and execute AI-based research projects aimed at biological discoveries. They lead collaborative teams, oversee projects, explore new methods, and contribute to scientific publications. They work on a range of scales, from individual projects to large initiatives, and ensure coordination across teams.
The Staff AI Scientist will develop and deploy AI and machine learning methods for analyzing large healthcare datasets. Responsibilities include designing algorithms for automation of clinical tasks, statistical analysis to ensure algorithm accuracy, researching new technologies, and collaborating on innovative AI capabilities.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Design and implement infrastructure for training, evaluating, and deploying deep learning models for self-driving semi trucks. Develop and optimize training pipelines, track metrics, and enable continuous integration and deployment of model improvements in collaboration with cross-functional teams.
Design and develop algorithms to model interactions in enterprise cybersecurity, apply AI and graph analysis techniques, build solutions balancing complexity and performance, and collaborate with engineering teams on ML infrastructure and data pipelines.
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