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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields.
$177,000 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will be a significant contributor to our efforts to develop, validate, and implement cutting-edge machine learning algorithms, including the use of Large Language Models (LLM), applied to diverse healthcare data sources (e.g. electronic medical records.
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A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.
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Design, develop, and optimize machine learning models and algorithms for various applications, including computer vision, NLP, and audio/video processing. You have experience in building, serving, and fine-tuning machine learning and large language models.
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Responsibilities Play a critical role in setting the direction and goals for one of our ML teams in terms of project impact, ML system design and ML excellence Be a go-to person for the most complex production performance and evaluation issues requiring an in-depth knowledge of how the machine learning system interacts with systems around it Lead and review technical designs for projects within your team, actively contributing to team-level strategies setting clear, achievable engineering goals.
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We work closely with various machine learning (ML) applied science teams dedicated to improving the quality of models that drive semantic matching, ranking, computer vision, image processing, and augmented reality.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity.
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Knowledge of Deep Learning implementations for imaging (e.g. Super-resolution, deconvolution, Denoising Diffusion generative models, NERF models, GANs, latest mobile-friendly CNN architectures, Image Transformers etc) with PyTorch or Tensorflow.
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Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems.
$190,400 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization. As a Machine Learning engineer in the Autolabeling team you will be responsible for designing and developing new Machine Learning models for our offboard automatic labeling systems, and deploying the models to label at scale the data necessary for the development of our next-generation autonomous vehicle platform and ultimately contribute to millions of Toyota production vehicles.
$140,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design complex layout for mixed signal and analog circuit in deep sub-micron CMOS technologies. Strong understanding in the analog layout design. 5 years of relevant analog mixed signal layout design experience.
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Deep knowledge of chemistry, especially around molecular design, processing, or characterization of selective contact layers in thin film solar cells. Demonstrated deep knowledge of solar cell device physics and of fabrication and characterization of efficient solar cells.
$120,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Familiar with schematic creation and PCB design tools; OrCAD, Cadence Allegro, Altium, PADs,? Familiarity with using RF simulation tools like ADS, Genesys or CST for circuit and 3D EM simulations.
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