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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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This role is part of Cash App's Risk ML team and will be embedded within one of the below workstreams:Identity: Using machine learning methods and systems, this team reduces the prevalence of inauthentic identities in Cash's ecosystem, provides a first line of defense against bad actors attempting to circumvent our IDV controls while simultaneously building our confidence in existing and new customers' identities.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
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Proficient in advanced computational tools, with prior experience in high-throughput molecular assays such as next-generation sequencing (WES, scRNAseq, ATACseq) and flow cytometry, and skilled in using programming languages like R and Python for complex data analysis.
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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
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Mills Institute @ Northeastern University Upward Bound (MCUB) is a federally funded TRiO program designed to enhance the academic skills of low-income first-generation college-bound high school students in the Oakland and West Contra Costa Unified School District with the goal that participants will pursue post-secondary education.
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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 with computational geometry, linear algebra, or Machine Learning. As a Senior Software Engineer on the Simulation Fidelity team, you will contribute to complex efforts aimed at identifying and addressing gaps within our simulation frameworks.
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance.
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We're building the next generation of hiring software that companies like Netflix, Yelp, Cirque du Soleil, Shopify, and Eventbrite rely on to grow their teams. feel like you're being challenged, learning a ton and confident in your path to success at Lever.
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We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home.
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