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Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you’ll leverage Python, Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution.
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Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Post-doctoral research experience is desired as well as research or training in areas such as machine learning and/or deep learning in a biomedical context, signal processing and analysis for biomedical data, bioinformatics, computer vision, or other related areas.
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Our Data Science program is one of the fastest growing field in CIT. The ability to teach hands on graduate courses in general areas of Data Science such as Artificial Intelligence, Deep Learning, Distributed & Scalable Data Engineering, Machine Learning, and Natural language Processing.
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Strong understanding of relevant AI frameworks, tools, and programming languages (such as Python, Java, C , and Y) and the ability to apply data science and in-depth knowledge of machine learning, deep learning, natural language processing, and computer vision.
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Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 6 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 years of experience building, scaling, and optimizing training or inferencing systems for deep neural networks.
Full-timeRemoteExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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Sr Data Scientist - Generative AI (GenAI, GAI, Deep Learning) Whether you join our Statistics, Optimization, Advanced Algorithms or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Search, Personalization, GenAI, Marketing, Supply Chain Optimization, Network Security rely on.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. You'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system.
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$231,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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By innovating and implementing state-of-the-art machine learning, data science, and large language model solutions, you'll help shape the future of sustainable fashion retail. Excellent communication, technical leadership, and project management skills as you will be the data science team expert in the search, AI, NLP, and LLM space.
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The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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