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Explore and select appropriate tools and models for each problem, including using deep learning, LLMs, NLP, and ML models. Broad understanding of and experience with ML, deep learning, LLMs, and modern AI trends.
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Fields of research include: Deep Learning, Computer Vision, Computer Graphics, Audio and Video Technologies, SAMI, Effects, Creative Tools, AR, Avatars, and so on. - 5+ years of work experience as Quality Assurance Engineer, Software Engineer in Test, or SDE-Test.
$159,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bonus points for if you have experience working with deep learning models such as Tensorflow, Pytorch etc. Our Senior Software Engineers are end-to-end owners. Our Software Engineer's work on finding solutions to algorithmic, optimization, and scale challenges in everything we do.
$123,900 - $227,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with documentation tools including confluence, word doc Nice to Have Skills & Experience ML, Deep Learning, AI experience, Financial Data Experience Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.
$52 - $78 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Optimize compilers for efficient execution of deep learning models on various hardware platforms. Design and implement ML compilers for high-performance deep learning applications.
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Proficient in deep learning theory, with in-depth business practice in the NLP field. About the Team Quality Technology Team focuses on the quality domain, providing a series of effective quality products and tools throughout the entire software engineering lifecycle from development, testing, and changes to online operation and maintenance.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers.
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Senior Software Engineer, Quality Technology. Quality Technology Team focuses on the quality domain, providing a series of effective quality products and tools throughout the entire software engineering lifecycle from development, testing, and changes to online operation and maintenance.
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Deep expertise in Java, Spring Boot, REST, SOAP, SQL, NoSQL, KAFKA, testing, CI/CD. Experience in applying AI/ML techniques such as natural language processing, reinforcement learning, to build intelligent features and optimize systems.
$188,700 - $235,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in large-scale backend systems with deep learning components, familiar with RPC frameworks, experience in dealing with concurrent systems and architectures. We are looking for strong tech lead software engineers to drive the design and implementation of our generative AI systems consisting of model training and optimization, deployment with efficient hardware consumption, and applications to user-facing products for image/video processing and interactive editing.
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Architect and develop high performance and scalable distributed system for large scale data storage, data processing, distributed deep learning, simulation. is looking for a Software Engineer to build powerful and efficient world-leading cloud infra platforms for autonomous driving, inlcuding PaaS platforms, such as Big Data, AI, Simulation, and IaaS platforms, such as K8s, storage services.
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7+ years of experience in AI, deep learning and related software development. Exciting Opportunities: As a Senior Manager for AI Models Software Development, you will be at the forefront of innovation, working with the latest AI technologies and algorithms.
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Imagry.co) is an AV software provider developing a Level 4 Autonomous Vehicle AI system, built on vision-based deep learning solutions for road perception and motion planning. Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning.
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The Machine Learning Experience (MLX) team supports an internally hosted Model Training ecosystem running critical infrastructure for machine learning and data analysis across Capital One. You will get an opportunity to collaborate on the 1000's of models being trained on the platform by 4000+ users and dive deep into the unique engineering challenges we have around compute, data access, security and scale.
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Your deep understanding of Kubernetes architecture, cloud infrastructure, and your passion for AI and machine learning will be instrumental in guiding our team to success. We are looking for a highly skilled Senior Software Engineer to assume a leadership role in developing and maintaining APIs for our AI platform.
$150,900 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago
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