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Solid ML background and familiar with standard NLU, NLG, and LLM techniquesPREFERRED QUALIFICATIONS- PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing- 4+ years experience in building conversational AI and/or natural language processing systems.
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Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new solution. PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
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The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. You will help hire, mentor, and develop the best and brightest science and engineering talent while our organization rapidly continues to expand.
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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.
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Proficiency in big-data engineering concepts like CI/CD, Spark, Docker, Azure ML, and REST API development. Partnering with data engineering teams for scalable operational models. We are hiring a Senior Data & Applied Scientist with experience in advanced statistical data analysis and Machine Learning to work with high-impact professionals who are solving complex problems.
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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
$117,200 - $229,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements. - Experience collaborating and influencing cross-functionally across science, engineering, economics, and business teams.
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Python or related languagePREFERRED QUALIFICATIONS- PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with popular deep learning frameworks, including PyTorch- Experience with learning multimodal LLMs and Gen AI in Computer Vision, both in the image and video domains.
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Currently has, or is in the process of obtaining, a PhD degree in Vision Science, Perceptual Psychology, Optics, Computational Imaging, Biomedical Engineering, or a related field with an emphasis on perceptual modeling, psychophysics, and/or metrics evaluating perceptual performance or a related field.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Minimum of a Bachelor’s degree in CS, EE/Applied Mathematics/Statistics/ML/NLP, or relevant engineering experience. Experience with LLM assisted engineering. We highly value the machine learning research, academic, and engineering communities and we believe in fostering meaningful collaborations between them.
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Strong software engineering skills to build scalable and robust infrastructure for deep learning data, modeling, and evaluation systems. As an ML Applied Scientist on our team, youll be working with a team of computer vision and deep learning researchers and engineers to rapidly prototype ideas, test hypothesis, and investigate feasibility, with the eventual goal of shipping world-class algorithms and experiences that open up the boundaries of whats possible.
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Reporting to the VP of Engineering (AI/Data) you will work closely with product managers, machine learning engineers and software engineers to understand business priorities, frame ML problems and architect solutions that deliver real-world value specifically in CTR modelling, Conversion modelling, UX optimisation, price optimisation and NLP.
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R&D in LLM related fields, including AI agent, fine tuning, prompt engineering/learning, tooling, domain knowledge construction, LLMOps and acceleration, etc. B.S./M.S, degree in Computer Science, Computer Engineering or a related area with 3+ years of relevant industry experience; new graduates with Ph. D. degree and strong publication records can be an exception.
$184,300 - $337,250 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will be part of an integrated technical team and should be collaborative in nature, with expertise in applied data and machine learning science working along engineering teams putting your models into production.
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engineering job Title: applied in Bellevue, WA
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