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We are particularly interested in candidates who are at the forefront of integrating artificial intelligence/machine learning into biology. The department is interested in recruiting new faculty who work at interfaces between scientific disciplines represented within our department (including computational biology, molecular engineering and design, therapeutic bioengineering, systems pharmacology, drug development sciences, pharmacogenomics) and across the entire discovery science community at UCSF (e.g. biochemistry, biophysics, cell biology, pharmacology, pharmaceutical chemistry, physiology, neuroscience, human genetics.
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Machine Learning Engineer (Modeling), Risk Identity. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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The successful candidate will interface directly with counsel and engineers at established and emerging tech clients, gaining exposure to subject matter areas such as artificial intelligence, cloud computing, rockets and space-oriented payload delivery, automation, computer networking, encryption, graphics and animation, and computer gaming/e-sports.
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Spun out of Stanford in 2019, we have built an intelligent analytics platform fueled by our revolutionary device which uses machine perception and sensor fusion to provide an operations digital twin that combines factory operator activity with machine data for the first time.
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The Senior Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.
$320,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proactively build and maintain relationships with partner teams, including but not limited to Cyber Intelligence, Red Team, Insider Threat, and Hunt teams. At least 3 years of experience with Threat Intelligence Platforms (TIPs), Security Orchestration, Automation, Response (SOAR) or Security Information and Event Management (SIEM) tools.
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Perform bioinformatics analyses and apply machine learning techniques, and deep learning on high dimensional biomarker data. Research skills at a level to evaluate alternate solutions and develop recommendations.
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We're looking for an experienced Staff Machine Learning Engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.
$302,900 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
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Exciting projects with real-world impact in the field of artificial intelligence and machine learning. At our company, we're passionate about pushing the boundaries of artificial intelligence and machine learning.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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Experience in data science- machine learning or artificial intelligence. Its mission is to provide the best clinical care to patients, investigate the most promising advances in neuroscience research, and train future leaders in neurosurgery.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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artificial intelligence machine learning jobs Title: engineer solutions in San Francisco, Belgrade, Montana
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