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Our team develops, implements, 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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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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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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Works independently to provide guidance and leadership to mid-level to senior level team or project members, with strict adherence to QA/QC.Proficiency with technical writing, office automation, discipline-specific design software (i.e., MicroStation, AutoCAD, Civil 3D, ArcGIS, InRoads, Geopak, GeoSlope,ANSYS, STADD, HEC-RAS, HEC-HMS), technology, math principles, predictive models, spreadsheets, and tools.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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2025 Entry Level Consultant – Technology (240IA) We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications.
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This individual must have had at least one of the previous titles; project director (projects over 50 million annually, and 150 million aggregate) proposal manager (40+ million contracts) senior estimator (100+ million annual in awarded work) Software skills in HCSS Heavy bid or other estimating software, Grade Beam, Primavera P6, and On-Screen Takeoff, BIM/Autodesk programs.
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QUALIFICATIONS Minimum Qualifications - Education and Experience Bachelor's degree in Civil Engineering 2 years of design experience Preferred Education & Experience Master's Degree in Civil Engineering or related area Knowledge in stormwater design including green infrastructure practices Strong knowledge of CAD software and drafting procedures Excellent prioritization and project development skills Licensures and Certifications Eligible for Engineer in Training (EIT) license.
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Join our client as a Lead Machine Learning Engineer where you'll be at the forefront of pioneering advanced analytics for actionable insights within our FinTech and RegTech Product portfolio.
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At the undergraduate level, we offer bachelor's degrees in Sign Language Interpreting, Special Education, Human Learning and Development, and a minor in Educational Psychology. At the graduate level, we offer degrees in Applied Behavior Analysis, Educational Psychology, Instructional Technology, and Special Education.
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Working knowledge of BIM, and/or CAD software platforms (such as Civil3D, AutoCAD, Revit, Bentley OpenBuildings, MicroStation) As an industry leader in USACE Engineering and Design support, Tetra Tech has placed contract capacity and been selected to lead the design of multiple ongoing top priority USACE projects, including rehabilitation of inland navigation lock and dam systems, design of new navigation locks, and coastal protection projects.
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