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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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ODIL is an applied research lab for interdisciplinary collaboration and solution design, the Lab will focus on advanced applications of analytics, machine learning, and artificial intelligence within the field of musculoskeletal health.
$140,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Highly skilled in R and Python for statistical and machine learning programming. Ability to apply Bayesian inference, frequentist statistics, causal modeling, and / or machine learning techniques.
$173,196 - $219,042 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Machine Learning Engineer or in a similar role. Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R.
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Mentorship and Thought Leadership: Serve as a technical mentor for junior engineers, offering guidance in machine learning and NLP, while also providing thought leadership in these domains.
$120,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) As a Software Engineer III at JPMorgan Chase within the Digital Document Services, Core Platform Services and AI Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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AI Integration: Contribute to the integration of AI and machine learning algorithms into the platform, providing data-driven insights and predictive analytics. Requirements:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field from a Top-25 CS programProven experience as a Front-Office developer working on electronic trading platforms with specific exposure to SOR, DMA, Dark Pool Liquidity, and algorithmic execution.
Starting at $200,000 - $650,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have a PhD or Master's in AI/ML, Computer Science or Finance (with a background in Machine learning), with 5+ years plus of industrial experience. Excellent knowledge of standard tools of the trade for machine learning engineers.
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Advanced statistical analysis skills and Machine Learning modeling, Deep Learning modeling. Experience with Reinforcement Learning (MDP, Policy Optimization algorithm, Dynamic Programming algorithm) is a plus.
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Note: This position does not offer visa sponsorship and This is a fully remote role that can be done from anywhere in the USA. Job Description: Oversee the performance and reliability of production machine learning systems.
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This role is responsible for all data services in public cloud including relational databases, NoSQL databases, BigData, messaging and streaming, and analytics and machine learning. Engineer and secure data service solutions (self-managed platforms and cloud native) that are scalable and highly available.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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The Data Science Resource Center (DSRC) at The Rockefeller University will work in close collaboration with Price Center scientists to advance these research objectives with the development of novel machine learning and artificial intelligence (ML/AI) algorithms that can shed light on the fundamental building blocks of social behaviors.
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Title: Senior Machine Learning Engineer Location: 100% Remote. Proficiency in Python and relevant Machine Learning libraries (e.g., Transformer, TensorFlow, PyTorch Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing.
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We’re looking for engineers who bring fresh ideas from all areas of computer science, including natural language processing, machine learning, large-scale system design, and iOS mobile app development.
$148,800 - $274,600 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning jobs Title: engineer in Brooklyn, NY
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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