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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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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$199,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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Knowledge and Learning: You possess broad technical experience and interest in computer science and applied technology such as human-computer interaction, data analytics and machine learning, advanced computing, autonomy, and adaptive systems.
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A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender's proactive deepfake and AI-generated content detection technology is developed by a leadership team with over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.
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We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Atlanta, GA, USA | Chicago, IL, USA | Denver, CO, USA | Herndon, VA, USA | Jersey City, NJ, USA | New York, NY, USA | Santa Clara, CA, USA | Seattle, WA, USA | Washington, DC, USABASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking mid- and senior-level applicants with a strong Physical Science and/or Applied Math background to work in the areas of Radar and SAR Exploitation. Implementing prototype solutions in software, utilizing the latest data exploitation techniques (including machine learning techniques.
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Amazon Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization group is seeking a Senior Applied Scientist with expertise in Machine Learning and a proven record of solving business problems through scalable ML solutions.
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2 year+ experience with clustering, classification, sentiment analysis, time series, and deep learning. Monitor and ensure the quality of machine learning solutions by implementing process and control disciplines and tooling to govern.
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If you’re looking to own a key part in developing the ads system at a billion-dollar company and would enjoy working with a cross-functional group of product managers, applied scientists, designers, machine learning engineers, backend and frontend engineers, and more, then this is the role for you.
$260,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree, or master’s degree in computer science, Informatics, Statistics, Applied Mathematics, Data Science, Machine Learning, or Artificial Intelligence and 8-10 years’ experience in industry or technology consulting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer. Keywords: Machine Learning Engineer, Location: WASHINGTON, DC - 20402. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences.
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Reviews and prepares data for analysis, ensuring quality and technical standards are met, and assists in developing datasets for machine learning applications, with guidance from senior team members.
$250,200 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Palladium has three portfolios that strengthen and harness digital and data ecosystems to accelerate development investments and outcomes: 1- Information Systems (IS) 2- Monitoring, Evaluation, Learning and Analytics (MELA) and 3- Digital Solutions and Transformation (DST.
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learning applied jobs Title: senior in Arlington, VA
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