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As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.
$251,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
$278,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Vertex AI Integration:o Work closely with data scientists and AI specialists to integrate and optimize solutions using Vertex AI on GCP.o Implement and manage machine learning pipelines and models within the Vertex AI environment.
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Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, natural language processing, and more. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning, and Natural Language Processing (NLP) in finance.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
$150,000 - $200,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of technical experience in Machine Learning, Artificial Intelligence, LLM, or GenAI. - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Deep knowledge of one specific infrastructure technology and programming language (e.g., Bash, Python, Java, GoLang etc.
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Nice to Have: Experience working with multiple cross-functional teams to deliver resultsExperience in banking and/or fintech industryFamiliarity with machine learning algorithms and techniques.
$186,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This includes leading efforts in system architecture, API design, data processing, and infrastructure that supports both machine learning and application development. Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP.
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The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of/experience with emerging machine learning and cognitive computing paradigms including Generative or Conversational AI within Fintech is a plus. This highly visible role will be aligned with the Chief Data Office (CDO), responsible for working with peers and leaders across the enterprise to drive the creation of cohesive solutions that span architectural domains (e.g. infrastructure architecture, solution architecture), while working closely with partners within the CDO to ensure those solutions meet the specific needs of that organization.
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Implement data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL)and data tools (reporting, visualization, analytics, and machine learning.
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Salary: up to $250k + bonusSummaryLeading HFT fund looking for motivated research scientists with a demonstrated ability to apply machine learning to achieve cutting-edge capabilities in complex and challenging domains.
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Research Experience in deep learning, computer vision, robotics, or AI infrastructure. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
$173,000 a yearExpandApply NowActive JobUpdated 16 days ago
infrastructure machine learning jobs in New York, NY
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