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Preferred Technical qualifications • Machine learning frameworks (e.g., Scikit-learn, Tensorflow, PyTorch, Keras) and concepts (e.g., supervised, unsupervised, active, and reinforcement learning; neural networks; generative, discriminative models.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Provide subject matter expertise and technical support in biostatistics, machine learning and artificial intelligence (MLAI) to advance the validation of digital endpoints and biomarkers.
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With over 10 billion cumulative shipments of SoCs embedded with our CPU IP, our products cover audio, Bluetooth, gaming, GPS, machine learning, MCU and more. We are a rapidly growing organization, and you will get the chance to work with a team of experienced architects, designers and DV engineers to build next-generation of RISC-V CPUs. Ideal applicants will have a passion for technical advances, CPU architecture and have a keen interest in tackling present-day verification problems.
$150,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The AI COE is seeking a Principal Data Scientist with experience in Virtual Assistants or chatbots, Natural Language Processing/text analytics, machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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PhD in bioinformatics, computational biology, immunoinformatics, statistics, computer science, machine learning, physics, or a related field (PhD students in the last year of their thesis work, are eligible to apply.
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Strong experience in machine learning/AI research and technical support. The Senior ML Research Engineer will play a critical role in building a robust machine-learning codebase, distributing AI/ML models on the AI cluster, and utilizing their expertise to tackle complex challenges in large AI/ML applications.
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Ideal candidates will possess: Familiarity with analyzing oncology clinical dataFamiliarity with DBT workflowsFamiliarity with creating and maintaining BI dashboards; Looker experience nice to haveFamiliarity with machine learning techniques, with an understanding of the strengths and limitations of various approachesProficiency in navigating large, complex problems within a fast-paced environment.
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With offices in London and Boston, John Murray Learning is home to health and mental health experts and self help superstars, whose ideas spark new insights and open up new worlds of learning and development.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Our RTLS stack has machine learning and data science at its heart, and together with other algorithms provides indoor localization at scale. Experience with at least one machine learning framework such as TensorFlow or PyTorch.
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You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. We are looking for a Language Engineer with strong technical skills which includes coding and natural language processing experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets.
$84,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Relevance Tuning: Continuously tune relevance algorithms in Solr and Hybris using machine learning and AI to ensure high-quality search results tailored to user behavior and preferences.
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Awareness, understanding of Trauma Informed Practices and Social Emotional Learning. Regularly provides advice and expertise to general education teachers and the school community to support the creation of appropriate and effective academic, behavioral, and social/ emotional learning experiences for students.
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machine learning open source jobs Title: technical in Arlington, MA
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