got it

Got-it.ai is an innovative platform that offers personalized homework help and tutoring services to students of all ages. With a team of expert tutors available 24/7, Got-it.ai provides instant assistance on a wide range of subjects, including math, science, and computer programming. The platform uses advanced AI technology to match students with the most suitable tutors for their specific needs, ensuring a personalized and efficient learning experience. Whether struggling with a difficult problem or looking for extra practice, Got-it.ai is a convenient and reliable resource for academic support.

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    Site is Encrypted

  • Country
    Hosted in United States

  • City
    Ashburn, Virginia

  • Latitude\Longitude
    39.0481 / -77.4728    Google Map

  • Traffic rank
    #67,844 Site Rank

  • Site age
    6 yrs old

  • Site Owner information
    Whois info

Traffic rank
#67,844
Site age
6 yrs
Location
United States
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via Illbeback.ai schedule_type: Full-time
About Got It AI Got It AI has transformed the human-to-human and human-to-machine conversational ecosystem by developing the world’s first fully autonomous conversational AI that leverages state-of-the-art technologies such as Generative AI and Large Language Models. Got It AI, led by an experienced leadership team with a proven track record, is making a positive difference in a variety of... industries, including education, finance, and e-commerce, About Got It AI

Got It AI has transformed the human-to-human and human-to-machine conversational ecosystem by developing the world’s first fully autonomous conversational AI that leverages state-of-the-art technologies such as Generative AI and Large Language Models. Got It AI, led by an experienced leadership team with a proven track record, is making a positive difference in a variety of... industries, including education, finance, and e-commerce, by deploying multiple AI applications. We are looking for individuals who are enthusiastic about developing revolutionary technology while having fun.

Role

At Got It, Machine Learning Engineers and Scientists develop cutting-edge technology and integrate it into our conversational AI platform. Our engineers and scientists bring fresh ideas from a diverse set of areas, including natural language processing, speech, and conversational AI, cloud computing, large-scale system design, security, artificial intelligence, UI design, and more. We need our team to be enthusiastic and versatile, display leadership, and take on problems across the full stack.

As an ML intern, you would work with mission-critical projects. With your technical expertise, you will get the opportunity to work on state-of-the-art Conversational AI and NLP research such as Generative AI, Unsupervised and Zero-shot Learning, Transformers based Large Language Models, No Code AI, Language Understanding, Natural language generation, Information Retrieval, and Speech Recognition.

Minimum requirements
• Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
• 2+ years of domain expertise in Machine Learning, Generative AI, NLP, or Artificial Intelligence
• Experience with one or more general-purpose programming languages including but not limited to: Python, Java, or C/C++
• Strong software design and development skills and experience working effectively with science, data processing, and software engineering teams
• Proven track record of innovation
• Excellent written and spoken communication skills
• Experience with relevant technologies (e.g., PyTorch, Tensorflow, machine learning libraries)
• Entrepreneurial spirit combined with strong architectural and problem-solving skills

Preferred qualifications
• Ph.D. with specialization in one of the following areas: NLP, Generative AI, Conversational AI, or Machine Learning
• 5+ years of experience with one or more of the following: Natural Language Processing, Conversational AI, Speech Recognition, Computer Vision, Reinforcement Learning, Text Understanding, Classification, Pattern Recognition, Recommendation Systems, Ranking Systems, or similar
• Strong publication record
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