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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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PhD in the field of Computer Graphics, Computer Science, Mathematics or Machine Learning with a proven academic or equivalent industrial track-record. The position requires a combination of education and experience in computer vision, computer graphics, robotics and machine learning.
$208,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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The Technology organization works to influence WMG’s strategy and optimize day-to-day operations through data, insights, workflow, and machine learning, including generative AI. This position sits within the Technology organization, working closely with colleagues across WMG’s recorded music and songwriting/publishing businesses.
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Amazon is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading language technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
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We're looking for an experienced Staff Machine Learning Engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.
$302,900 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Our team works closely with high-technology clients developing advancements in artificial intelligence, machine learning, quantum computing, and other innovative technologies to secure patent protection and provide relevant strategic counsel.
$88,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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You'll work cross functionally with our dedicated tech team (software engineers and machine learning scientists), partner tech teams, UX design, business intelligence, operations, marketing, and creative teams to bring products to market and enhance the customer experience.
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Requires (near/far/depth/color) vision to operate pipe threading machine, pipe bender, Oakey beveler; to fit, weld, layout pipe; to read tape measure. Stands to operate pipe threading machine, pipe bender, Oakey beveler; to fit, weld, layout pipe.
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Master’s degree or PhD in Computer Science, Data Science, or a related field, with strong exposure to Artificial Intelligence and Machine Learning technologies. Develop methods for compliant architecture, including data storage, metadata management, automation, and change management.
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Experience with at least one other form of machine learning, such as natural language processing, reinforcement learning, computer vision, LLMs, etc. Regrello is seeking a highly motivated and talented US-based Machine Learning Researcher to join our AI team.
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Knowledge in machine learning, natural language processing, data mining, predictive analysis, or information extraction. Deep understanding of computer science fundamentals, algorithms, and common data structures.
$281,200 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Understanding the concept of Machine Learning and Natural Language Processing within Localization. Partner with data scientists on the team to oversee the linguistic quality of Machine Translation, providing expertise and insights to improve translation algorithms and outputs.
$167,400 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago
machine learning jobs Title: staff data scientist in Seattle, Troy, New York
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5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
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It might be tempting to overlook the importance of a well-written job description. After all, if you’ve posted job ads before and ended up with tons of resumes in hand, it’s easy to assume that this will always be the case, regardless of how your job ad reads. But, in reality, you really can’t take getting an influx of resumes for granted.
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When tax time rolls around, the last thing you want to worry about is having to track down a W-2 from your former employer. Many times you won’t have to because the IRS requires companies to send these forms to all current and former employees who have earned more than $600 in the last year. Unfortunately, there are employers who don’t do what they’re supposed to. There are even times where something else may happen that prevents the W-2 from getting where it’s supposed to go.
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Job Rejection Email Response with Examples
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Structured vs Unstructured Interviews
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How to Describe Your Personality with Examples
Imagine you’re in an elevator with the CEO of your dream company and you get to talking. The conversation is going well and you start to imagine yourself working for their company when the CEO turns around and asks you “tell me a bit about yourself.” Would this catch you off guard or would you be able to give a clear and succinct description of who you are?