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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review.
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We are seeking a skilled and motivated User Experience Researcher, Next Generation Technology, with a focus on emerging technology (AI/ML, AR/VR, IoT and Edge Computing and a passion for qualitative methods to join our team.
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You will collaborate with experimental scientists to design and interpret experiments that validate and refine machine learning-generated hypotheses about novel MOAs. You will contribute to and drive publications, present results at internal and external scientific conferences, and help make code and workflows open source.
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Ideally hiring in one of our Hub locations listed below but open to other locations:Los Angeles/Orange County, San Diego, San Francisco Bay AreaDenverNew YorkChicagoNew YorkPortlandAustin, Dallas, HoustonSeattleAbout the RoleMixpanel’s global demand generation team is responsible for our global campaigns strategy, pipeline generation across marketing channels, and collaborating with key partners in product marketing, field marketing, brand design, revenue operations, and partnerships.
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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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Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. Learning and Development resources.
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Create strategies and blueprints that use machine learning to improve operations and refine processes (procure-to-pay, order-to-cash, record-to-report) · Oversee clients’ digital transformations, help them simplify workflows, and find new revenue streams (FinTech apps, blockchain technology, virtual and augmented reality.
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Experience as a laboratory technician Experience with PCR, PCR optimization Experience with performing next-generation sequencing, including whole genome and / or targeted Amplicon sequencing Experience with culturing bacteriophage Advanced knowledge of Database software, statistical software (e.g. STATA, R) Computer programming (e.g. Python, C.
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Experience building multi-tenant, virtualized infrastructure and/or working on open source software/contributions to open source Redis/memcached/Cassandra/PSQL a strong plus.
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We are seeking a highly motivated machine learning engineer to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization. Principal Machine Learning Engineer, Imaging AI.
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The UCSF Clinical Cancer Genomics Lab runs targeted gene sequencing, microsatellite instability testing, fluorescence in situ hybridization (FISH), and a 500+ gene next-generation sequencing panel for advanced diagnostic and prognostic molecular testing in patients with cancer.
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AbbVie is seeking a creative and highly motivated individual with expertise in artificial intelligence (AI) and machine learning (ML) to join our team as a Director, Companion Diagnostics Strategy Lead. In this role, you will have the exciting opportunity to develop Next Generation Companion Diagnostics (CDx) solutions that will revolutionize patient care in the fields of oncology (solid and heme), immunology, and neuroscience.
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We do our work in the open, on GitHub, and progress can be seen in the bazel-ios project on GitHub. You'll be focused on contributing fixes and improvements to Bazel, maintaining Xcode integration, delivering Bazel Remote Execution, and maintaining a CDN based remote caching system.
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While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate. Kotlin, Java and JavaScript/Typescript (React/Redux.
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