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The AVP will also lead and guide the data science team with modeling expertise in forecasting, optimization, data mining, analysis and analyzing complex datasets; lead and guide in the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; and lead and guide in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance.
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PhD degree in Data Science, Machine Learning, Statistics, Computer Science, Applied Math, or other STEM fields. Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, Applied Math, or other STEM fields.
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Collaborate with Applied Science, Product and other engineers across multiple offices and time zones to create and deliver new machine learning products and features on time.
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Key Qualifications Strong background in applied machine learning and deep learning; experience in speech, speaker, and/or language recognition is a plus. PhD in Machine Learning, Computer Science, or related field, or M.S. with 3+ years of experience in Speech/Language Processing or Machine Learning.
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Master's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline preferred. Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required.
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At least eight years' research/applied science experience in NLP/LLM, Computer Vision, Multimodal understanding, Deep Learning, Machine Learning, or a related field.
$267,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in HPC for large scale deployment of AI/ML.Proficiency in data science, machine learning, and artificial intelligence. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible a Better Future.
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Python or related language- Familiarity with LLMs and related optimization methodsPREFERRED QUALIFICATIONS- Experience in professional software development- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
$136,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 15 years of Software Engineering experience to include serving in the capacity of Director/CTO/Chief-Architect position for AI Machine Learning / Deep Learning solutions applied across different industry verticals and different data modalities.
$314,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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On a day-to-day basis, you will:Develop big data and machine learning pipelines to enable the training, evaluation, and deployment of large language models. On a day-to-day basis, you will:- Develop big data and machine learning pipelines to enable the training, evaluation, and deployment of large language models.
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We are seeking a highly-skilled and experienced Senior Applied Researcher in Responsible AI. In this role, you will incorporate the state-of-the-art in foundation model evaluation and responsible development and deployment of model applications, to ensure that they align with the company's values and ethical standards.
$262,900 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Partner on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
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Primary Skills: Machine Learning, Data Science, Kafka. Strong understanding of Machine Learning and Data Science principles. Skilled in the production deployment of machine learning models and applications.
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Job Title: Data Science Engineer - Machine Learning. Qualifications: Masters or Ph. D. in Computer Science, applied mathematics, or a related engineering discipline is essential.
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In this role, you'll build and deploy machine learning frameworks, accelerating development to deployment timelines and supporting data scientists in their projects. Candidates working towards master’s degrees or a PhD in quantitative disciplines such as Statistics, Applied Mathematics, Computer Science, Econometrics, Finance, Engineering, Operations Research, Bioinformatics, Information Systems, Computational Linguistics or related quantitative disciplines or other similar degree.
$30 - $40 an hourPart-timeExpandApply NowActive JobUpdated 5 days ago
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