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Build innovative machine learning models and segmentations for personalization initiatives. Understand and be able to apply advanced modeling techniques such as classification, generalized linear models, decision trees, time series modelling, cluster analysis, survival analysis, deep learning models etc.
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Apply techniques from statistics, signal processing, natural language processing, machine learning, generative AI, and other areas to develop new algorithms and power advanced features within Jellyfish.
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About The TeamThe Mail Science team consists of Research Scientists and Research Engineers who pioneer and provide solutions and technologies in machine learning, classification, recommendation, personalization, information extraction, and information retrieval.
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Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly.
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We’ve built an all-in-one teaching and learning platform with curriculum-aligned interactive textbooks and analytics to track engagement and performance. Over 1000 schools, across 115 countries, use Kognity to elevate their learning experience for teachers and students.
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This role will focus on the merchandising part of the equation - getting the right content to the right people at the right time, in both the LinkedIn Learning and flagship LinkedIn apps, on both web and mobile.
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Has a specialty around machine learning, artificial intelligence, pattern recognition, optimization, or advanced statistics. Advanced knowledge of machine learning modeling techniques (clustering, decision tree learning, and NLP) and their real-world advantages/drawbacks.
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Learning & development stipend. At WellSaid Labs, we enable creatives around the globe by putting high-tech, human parity technology into their hands, giving them the ability to add voice-over to any project and iterate with ease.
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Trellix’ security experts, along with an extensive partner ecosystem, accelerate technology innovation through machine learning and automation to empower over 40,000 business and government customers.
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School systems turn to our suite of tools to ensure that every child gets the support they need, including school climate and social-emotional learning surveys, tiered intervention planning, and professional development.
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The ideal candidate will have an expressed interest in learning the Private Equity Business as a proactive problem solver with strong interpersonal skills to support our clients. Knowledge of financial underwriting, self-insurance (Medical/Rx), and alternative funding programs (captives, RBP, etc.
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In-depth knowledge of machine learning concepts and algorithms, particularly in generative models such as LLMs (Large Language Models), GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or GPT (Generative Pre-trained Transformer.
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PhD/Masters in statistics, econometrics, machine-learning, applied mathematics or related quantitative field. 2+ years professional experience in developing machine learning models with a MS in machine-learning, applied mathematics or related quantitative fields.
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The learning products offered by the National Restaurant Association, and its family of brands ServSafe, ServSuccess, National Registry of Food Safety Professionals, and American Hotel and Lodging Educational Institute, has led the way in training and certifying millions of current and future hospitality workers.
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Bachelor’s degree in data science, machine learning, artificial intelligence, STEM, or a related field. Collaborate with business stakeholders and counterparts from across the organization to define success criteria; collaborate with engineering partners to plan for and deliver productionalized solutions; collaborate with other data scientists and AI specialists to create AI products and other data science and machine learning solutions, including the opportunity to learn to fine-tune LLMs.
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machine learning jobs Company: Adobe in Little Ferry, St-charles, Missouri
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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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One part of the job-hunting process that frequently gets overlooked is putting together a list of good references. Most of the time we focus on creating the perfect resume, writing an awesome cover letter, and getting our hands on letters of recommendation. We think about what outfit we’ll wear to the job interview, how we’ll answer those tricky questions, and what our career plan looks like. But, in fact, having multiple references lined up who will speak favorably about you to a potential employer is critical to landing a job. This aspect of job searching really can’t be ignored.
Job Rejection Email Response with Examples
Glassdoor estimates that, on average, there are about 250 applicants for every job vacancy out there. If you’ve ever applied for a job, the odds are that you’ve received the dreaded job rejection email.
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To ATS or not to ATS
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6 Best Ways to End a Cover Letter with Examples
Including a cover letter with your resume is a great way to introduce yourself to the hiring manager, tell them why you’re the ideal fit for the role, and provide context about your personal situation. A strong cover letter will give you an advantage over other applicants. But it’s important that you structure it properly and write it powerfully so that it carries an impact. This article will discuss how to end a cover letter effectively so you catch the eye of a hiring manager and increase your odds of landing an interview. Read on to learn more.