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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.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. 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.
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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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Familiarity with Graph or Network Theory and Graph ML, including relevant frameworks and libraries such as Deep Graph Learning (DGL) or PyTorch or NetworkX Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerSales Territory or Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer.
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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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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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We are looking for a Senior Applied Scientist to join a newly created applied science team to reshape how we defend Microsoft. Experience in applying machine learning to security and safety domains, such as malware detection, fraud prevention, or cyber-physical systems.
$117,200 - $250,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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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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Experience with neural deep learning methods and machine learning. 5+ years of building machine learning models for business application experience. Are you looking to work at the forefront of Machine Learning and AI.
$150,400 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are currently seeking candidates for a full-time Senior Curriculum Specialist position in Arlington, VA supporting the Foreign Service Institute's (FSI) School of Applied Information Technologies division.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Do you want to build advanced algorithmic systems that are powered by state-of-art ML, such as Causal Modeling, Deep Learning, Natural Language Processing, Large Language Models, and Computer Vision, to seamlessly engage with Sellers.
$150,400 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
learning applied jobs Title: senior in Alexandria, VA
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