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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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At Genentech Computational Sciences (gCS) Prescient Design, we are revolutionizing drug discovery with cutting-edge machine learning techniques. Participate in cutting-edge research in machine learning and methods development for scientific discovery, including large language models and drug discovery.
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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Join our dynamic and innovative fintech startup, where we're revolutionizing the financial industry with cutting-edge technology and data-driven solutions.
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Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value.
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Mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Corporate Treasury Strats welcomes applicants with a PhD or a Masters in financial engineering, physics, statistics, applied math, or other quantitative sciences.
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Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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You will lead and be part of an engaging, dynamic, and inclusive engineering organization, grounded in scrum and agile practices, with strong collaboration between squads, and motivated by a commitment to continuous learning and improvement.
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This position represents a chance to tackle cutting-edge policy issues in financial services in New York, including those related to fintech, insurtech, cryptocurrency, decentralized finance, and the use of artificial intelligence and machine learning by the industry.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. The Underwriting systems engineering team is the main interface between the world of ML and product engineering, and as such your work will include everything from backend engineering, developing data pipelines, to creating features, and working with rules engines.
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Proficient in machine learning frameworks like TensorFlow and PyTorch. Drive innovation in the Data Science and Technology practice, focusing on generative AI and machine learning.
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Leveraging cutting-edge deep learning technology and data science since 2015 to more accurately predict consumer behavior and understand nuance, Cognitiv enables brands to connect with their customers in more precise, relevant, impactful moments at scale.
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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As a Quantum Computing Research Scientist Vice President within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the theoretical understanding of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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engineering cutting edge machine learning jobs Title: senior product manager in New York, Sherwood, Oregon
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