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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will play a key role in our Advanced Technology Group "ATG.
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Responsibilities:- Stay updated with the latest advancements in computational biology;- Collaborate closely with team members from diverse backgrounds to tackle challenging biological problems;- Participate in the development and scaling of cutting-edge models for tasks such as complex structure/conformation generation, molecule design, and unified multimodal modeling of sequence, structure, function, and properties.
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Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in computer vision such as training of CNN based models, GAN or diffusion based models for data generation, optimizing trained models for deployment and signal processing and traditional computer vision algorithms such as those in OpenCV.
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Minimum of 5 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science. Design and develop artificial intelligence (AI) systems leveraging a combination of signal processing, computer vision (including large vision models) and multi-modal models.
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As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
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Customize and apply Deep Learning and Gen AI models for use cases based on the business needs, data availability, system and infrastructure requirements including edge devices and High Performance Computers (HPCs.
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You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. Lead in adoption and customization of new AI capabilities especially in areas such as multi-modal models including combining traditional computer vision capabilities with multi-modal models, fine tune multi-modal models for domain adaptation and optimize models for different deployment scenarios.
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You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
$220,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email ( or speak with your recruiter.
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Design and build scalable data pipelines to support model training and production with DevOps & MLOps. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.
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We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. The beginning of a new Data & AI decade that will reshape work and society has begun.
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With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation.
$410,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD or MS with 5+ years of relevant experience (or BS with 10+ years of relevant experience) in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Cybersecurity or related field.
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Overview: As a Quantitative Researcher at our Multi-Strategy Hedge Fund, you will be at the forefront of developing cutting-edge quantitative models and strategies to drive alpha generation across various asset classes.
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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
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