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You will drive both short-term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, social & cognitive science.
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Contribute to machine learning and large language model (LLM) pipelines and APIs, including OpenAI (GPT-3.5 and GPT-4), Azure (OpenAI), Anthropic (Claude), and others. Experience working with AWS infrastructure (Elastic Container Service, Terraform, Relational Data Store, etc.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools to support critical operational processes, analytical models, and machine learning applications.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Familiarity with data science/AI, networking technologies (especially network security), and machine learning/artificial intelligence with a focus on hardware security. Knowledge of data science/AI, networking technologies, and machine learning is a plus.
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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
$125,000 - $135,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We're currently looking to hire research scientists with experience in machine learning and natural language processing. Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) Serve as the subject matter authority on all things machine translation and natural language processing.
$176,800 - $265,200 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
$130,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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As the Principal Data Engineering Architect, you will oversee the strategy, architecture, development, and operation of Airwallex's data and AI platforms. Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture.
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How you’ll make an impact:Lead and drive the development of data engineering technology and platforms for the company's data needs, ensuring their reliability, performance, and flexibility.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today
machine learning language processing data engineering solution architect jobs in San Francisco, CA
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