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PhD in computer science, applied mathematics, physics, computational biology or other quantitative disciplines. The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field and 6 years of experience in predictive analytics or data analysis.
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Degree must be in Network Engineering, Systems Engineering, Information Technology or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Seven (7) years of experience and a Doctorate Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensic, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field. TheMachine Learning Engineerrole requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
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BS, MS, or PhD in an engineering/quantitative field, such as computer science, electrical engineering, mechanical engineering, pure or applied sciences (math, physics.
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PhD in Electrical Engineering, Computer Science, Robotics, or a related field, with a focus on sensor fusion, computer vision, signal processing, and/or machine learning.
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Ph. D. in a technical or health area (e.g. Computer Science, Biomedical Engineering, Electrical Engineering, Biophysics, biological science, or other related areas.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, or a closely related field and six (6) years of experience as a Director, Software Engineering (or closely related occupation) developing enterprise Web applications in a financial services domain.
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Computer Science, •Computer Engineering, •Software Engineering, •Information Technology, •Information Systems, •Computer Information Systems, •Management Information Systems, •Cybersecurity, •Network Administration, •Information Assurance, •Data Analytics, •Cloud Administration.
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PhD in Computational Chemistry, Cheminformatics, Computer Science or a related technical field with 5+ years post-PhD experience in the pharmaceutical/biotechnology industry (or MS in one of these fields with 7+ years of related experience.
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We seek an individual who is not only passionate about teamwork and technical problem-solving but also has a proven track record of delivering innovative solutions in machine learning and antibody engineering.
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MS in Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics. Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
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2 years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch. We are looking for a Machine Learning Engineer or Senior Machine Learning Engineer that will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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machine learning computer science engineering jobs Title: engineering Company: University Of California Santa Cruz in Anoka, Minnesota
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