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PhD in applied mathematics, machine learning, natural language processing, or computational linguistics, with 10 years of professional experience. PhD in applied mathematics, machine learning, natural language processing, or computational linguistics, with 10 years of professional experience.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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We have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research.
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PhD in Computer Science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field. 10+ years of relevant industry experience as a data and machine learning engineer, with a strong track record of shipping successful AI/ML products at scale.
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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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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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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. 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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New York City (Hybrid On-Site): $230,000 - $262,500 for Applied Researcher ISales Territory: $195,000 - $222,500 for Applied Researcher ICandidates 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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Bachelors Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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Experience overseeing, developing, managing, researching and/or using relevant aspects of AI, data science, applied machine learning, large language models, generative AI, ethics, and/or digital health in domestic or global health contexts.
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You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems.
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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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Experience developing and working with Artificial Intelligence and Machine Learning (AI/Client) Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers.
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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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