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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. Using machine learning methods and systems, we reduce the prevalence of inauthentic identities in Cash’s ecosystem, provide 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.
$139,000 - $245,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Position Overview: As a Machine Learning Infrastructure Engineer, you'll play a crucial role in designing, building, and optimizing our machine learning infrastructure to support the needs of our organization.
$150,000 - $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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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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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerRemote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Preferred Qualifications Familiarity with biological data formats, concepts, and computational models is a plus The salary range for Redwood City, CA: Staff Machine Learning Engineer: $232,900 - $315,100 The salary range for San Diego, CA: Staff Machine Learning Engineer: $221,000 - $299,000 Exact compensation may vary based on skills, experience, and location.
$232,900 - $315,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Keywords: Water/Wastewater Engineer, Environmental Engineering, Clean Water, Safe Water, Resilient Water Supplies, Civil Engineering, EIT, FE, Professional Engineer, California, MS Office, ArcGIS, AutoCAD, WaterGEMS, InfoWater, InfoWorks ICM, InfoSWMM, Salary Range, Benefits, Bonuses, Tuition Reimbursement, Collaborative Team, Diverse, Inclusive, Confidential.
$75,000 - $120,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Field Engineer for our Industrial construction, you will have the opportunity to work on a wide variety of projects around the country to build your career with opportunities to grow and advance into higher level positions as your advance your knowledge.
$80,000 - $110,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Essential Duties & Responsibilities: Start, monitor and maintain all machinery Assist Chief Engineer in all aspects Handle mooring lines Participate in Safety and Security drills and all as required on WQSB Enforce crew and passenger safety Stand engine watches as required Be trained in use of fixed fire suppression systems QMED is assigned an IBA 'Security Officer' training Fill and pump fluids as needed.
$36 - $40 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. 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.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience contributing to full lifecycle deployments with a focus on testing and quality. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR.
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Drive and execute on delivering market intelligence and customer insights for enterprise robotics, embodied AI, simulation and machine learning workloads. Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, symposiums, and other eventsWe are open to hiring candidates to work out of one of the following locations:San Francisco, CA, USABASIC QUALIFICATIONS- 5+ years experience related to business development, management consulting, strategic partnerships, enterprise sales, technology development, or program/product management experience.
$133,200Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Swift’s technology is trusted by users across industries, enabling safer driving, improving efficiency for last-mile delivery and commercial transport operations, increasing accuracy for mobile devices and creating new possibilities for rail, robotics and machine control.
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Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practicesProven track record designing and building complex end-to-end systems (full stack developer)Hands-on experience in designing and developing using the one or more of the following technologiesJava RESTful Web Services (Java, J2EE, JUnit, and Tomcat.
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companies hiring machine learning engineer jobs Title: full stack engineer in San Francisco, Bentonville, Kansas
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