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As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible.
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The team is made up of machine learning researchers and engineers, who support and innovate production recommendation models and drive product impact. Minimum Qualifications - 5 years of experience in one or more of the following areas: cloud infrastructure, large-scale distributed system, PaaS/IaaS - Strong programming skills in Python and/or C/C.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Team members are engaged in the design and optimization of low level computational support for all aspects of machine learning and computational primitives in service of models such as Text to Speech, Voice Isolation, Apple Music Sing to mention a few.
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Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Docker/Kubernetes, Kubernetes, Singularity, MPI, MLOps, LLMOps, Ansible, Terraform, and other high-performance AI cluster solutions.
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Experience with one or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow. Ph. D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation.
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The Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization, is the backbone of Apple Intelligence. AIML - ML Engineer, Machine Learning Platform & Infra.
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Here you will explore novel and advanced machine learning methods to solve practical real-world challenging problems in autonomous driving. You have subject matter expertise and research in one or more of the following areas: scalable generative and diffusion models, generative model alignment with reward/cost models, controllability, distillation, mode recovery, fine-tuning with closed-loop RL, applications to autonomous driving and robotics, and other experiences such as video generation, text-to-image generation, in-painting/out-painting and so on.
$303,050 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the [TechEdSat]( participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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Years of experience in Databricks Machine Learning. Years of experience in Machine Learning ? Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Building RAG application independently using available open source LLM models.
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Minimum of 15 years of Software Engineering experience to include serving in the capacity of Director/CTO/Chief/Principal Engineer position for AI Machine Learning / Deep Learning solutions applied across different industry verticals and different data modalities.
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One or more scientific publication submission(s) for Natural Language Processing or Machine Learning conferences. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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Based in San Jose, CA and reporting to the Wellness Team University Field Instructors, the Wellness Counselor Intern will provide direct mental health services to general education students, as well as providing consultation and coaching to school leaders and teachers regarding trauma, social-emotional learning, mental health, behavior, and community resources.
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Contributions to popular open-source machine learning projects. Proficient in using open-source deep learning frameworks like TensorFlow/PyTorch. Strong mathematical and statistical background with deep insights into machine learning algorithms.
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You will design and implement high performance AI Training pipeline, data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, data parallelism, Zero, automatic mixed precision and kernel fusion.
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machine learning open one jobs Company: Simplyapply in Sunnyvale, CA
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