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Our client has several senior software engineering opportunities with various focuses including embedded Linux administration, machine learning, UI development, autopilot software and system architectures.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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The ideal candidate will have a strong background in embedded software engineering (particularly Debian-based Linux distributions) or UI development within Qt and will have a background with or personal interest in small unmanned systems (i.e. drones.
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Waters Global Research is looking for an energetic and creative machine learning engineer to join the team and help bring technologies in analytical instrumentation to the forefront of the industry.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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The ideal candidate will have a strong background in embedded software engineering (particularly Debian-based Linux distributions) or UI development within Qt and will have a background with or personal interest in small unmanned systems ( drones.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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Catapult HLS tool isused by leading hardware design and systems companies for cutting edgesemiconductor chip design in edge computing/automotive/machine learning/wirelessdesign/video, image processing etc.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
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Students should be interested in learning about aircraft electronics, radio frequency system/testing, embedded software development, Linux operating systems, digital signal processing, and software defined radios (SDR) technology.
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Primary Responsibilities/Accountabilities:Collaborate effectively with cross-disciplinary teams across machine learning, computational materials and chemical sciences, and software engineering.
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Director, Software Engineering will lead our Risk Management Tech teams through their transformational journey, building relationships to advise and partner with the Chief Enterprise Risk Officer of a Fortune 100 company, and their teams, along the way.
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