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Excellent debugging, analytical and problem-solving skillsA deep understanding of machine learning foundations and can develop technical solutions for new problemsNice to have:Experience working with cloud data processing technologies (Apache Spark, ElasticSearch, Presto, SQL, etc.
$65,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree 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.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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In-depth comprehension of data science concepts and tools, encompassing machine learning algorithms, statistical analysis, and proficiency in data visualization libraries. Apply advanced statistical and machine learning techniques to scrutinize extensive datasets, discerning meaningful trends and patterns.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
$149,859 - $213,915 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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MS degree with 2+ years of experience or PhD in Computer Science or related majors with in-depth knowledge of machine learning technologies (LLM/Recommendation System/Advertising Algorithm/NLP/CV.
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The mission of Cloud Supply Chain Operations Data Science and Simulation team is to improve efficiency through applied machine learning, statistical and simulation modeling as well as prescriptive insights.
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You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives. What You'll Do Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence working closely with Engineering and Data Science teams across Signifyd’s R&D group.
$230,000 - $250,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows. Conduct research and implement new machine learning techniques and methodologies.
$196,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Generative AI a plusStrong proficiency in Python, SQL, and familiar with frameworks like TensorFlow or PyTorchExtensive background in building AI/ML solutions with natural language processing, computer vision, and multimodal modelsA proven track record of deploying scalable machine learning models in production environmentsExperience with MLOps and CI/CD pipelinesExperience with various Databases: SQL, NoSQL (Postgres, Redis, Elasticsearch, etc.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working as an economist alongside or embedded in engineering roles (machine learning engineers, data scientists). Interest in combining causal inference and econometrics with machine learning (estimation of heterogeneous treatment effects through e.g. causal trees/forests; double/debiased ML; causal reinforcement learning; etc.
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You will work with Engineers leveraging third-party or open source, to build in-house Machine Learning tools & infrastructure - which will help develop reusable, high-performing Machine Learning systems, and enable fast model development, low-latency serving, and ease of model quality maintenance.
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Experience in machine learning frameworks (scikit-learn, Tensorflow, Pytorch), big data frameworks (Spark/Hadoop/Flink) and experience in resource management and task scheduling for large scale distributed systems.
$144,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge in Business Intelligence, Artificial Intelligence, and Machine Learning. Familiar with data stack applications like SQL Database, Data warehouse, Kafka etc. BS in Computer Science, Human Machine Interface Design, Human-Computer Interaction, or equivalent.
$150RemoteExpandApply NowActive JobUpdated Today
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