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We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization. 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.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Practical hands on experience with: NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics & Visualization tools (Looker preferred.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
$150,700 - $284,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years experience of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform. We use artificial intelligence and machine learning to create products and solutions that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.
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Provide hands-on ML engineering to develop and customize machine learning algorithms (as a research code) in Python for achieving end results. Provide hands-on experience in developing deep learning model architecture from scratch using PyTorch or TensorFlow.
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Experience or knowledge in LLM and hands on fine tune experience is a big plus. Have a strong working knowledge of machine learning algorithms such as XGBoost, CNNs, etc. Hands on and can-do attitude, willing to learn new technologies.
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3+ years of research experience in natural language processing, machine learning, and related fields. Hands-on experience on state-of-the-art NLP / AI libraries and toolkits.
$150,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Previous work experience as a software engineer, data scientist or a software QA engineer with hands-on experience developing and testing codeRelevant work experience in technical fast paced program, project or product management role.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
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5+ years of research experience in natural language processing, machine learning, and related fields. Hands-on experience on production of NLP systems. Drive advanced research on Natural Language Processing (NLP), Large Language Model (LLM) and Foundation Models to address academic and industrial challenges in AI fields.
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Similar Jobs (5) Senior Deep Learning Scientist, Conversational AI locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago Senior Deep Learning Scientist, Conversational AI locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago Deep Learning Algorithms Manager locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago NVIDIA pioneered accelerated computing to tackle challenges no one else can solve.
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A solid foundation in NLP/ML-related algorithms, with comprehensive study and practical experience in specific areas of natural language processing and machine learning. Demonstrated hands-on abilities, proficiency in at least one framework such as TensorFlow or PyTorch, including its training and deployment specifics.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with deep learning frameworks such as PyTorch and TensorFlow, and experience in CV, NLP, or related areas is a plus. The compensation offered for this position will depend on your degree or progress toward degree , qualifications, experience, and work location.
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Familiarity with big data technologies eg: Hadoop, Spark, Hive. Strong background in machine learning libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch Familiarity with optimization algorithms and tools (Gurobi/ Cplex/ Xpress) is a plus Experience prototyping, developing software and implementing data science pipelines and applications in programming languages (Python/Java/C.
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Experience with statistical models e.g. multinomial logistic regression Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences) Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models.
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