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Basic Qualification : Generative NLP Lead Data Scientist, specializing in NLP and Deep Learning Hands on AI/Data Science Strategist. Required Skills : Generative NLP Lead Data Scientist, specializing in NLP and Deep Learning Hands on AI/Data Science Strategist.
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Software Engineer, Computer Vision/Deep Learning Bellevue, Washington, United States Mountain View, California, United States Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going.
$158,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficient programming skills in Python and hands-on experience with at least one of the primary deep learning toolkits, such as JAX, PyTorch, or Tensorflow. We are a group of innovative researchers and engineers at the forefront of using deep learning to revolutionize high-impact business problems such as Holistic Demand Forecasting, AI-Generated Optionality on sales strategies, supply-demand planning, and financial optimization.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. We are seeking a talented Data Scientist with a strong focus on LLM (Large Language Models) and Deep Learning to join our team.
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Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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This candidate should also have prior work experience in financial services, an understanding of Customer Due Diligence/ AML/KYC requirements and a deep interest in working in and learning about the crypto ecosystem.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Qualifications The ideal candidate is an experienced and hands-on expert in the areas of NLP, NLU/Conversational AI and Machine Learning with extensive experience in fine-tuning pre-trained transformer based models like GTP-3 and BERT. We envision our InsightAI product being so successful that it will likely spin out to another company, and a handful of VC have already shown interest.
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Strong development skills in deep learning frameworks (eg., PyTorch, TensorFlow, or Jax) Recent or soon-to-be completed Ph. D. (typically completed within 3 years) in Computer Science or Mathematics with strong background in one or more of the following: Statistical machine learning, Bayesian deep learning, probabilistic and differentiable programming, probability and measure theory.
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Experience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.) You'll work across the entire ML framework/compiler stack (e.g. JAX, XLA, Triton, and CUDA), as well as system-efficient deep learning models.
$192,000 - $243,000 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Deep Learning Frameworks (PyTorch, TensorFlow, Jax) - Hands-on experience building, training, and optimizing deep neural networks that utilize GPUs. They should have solid knowledge of AI and machine learning concepts including deep learning, NLP, computer vision, and generative AI. Hands-on experience benchmarking, analyzing performance, debugging and optimization of hardware for AI workloads is key.
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Stay updated on the latest advancements in machine learning, MLOps, and related fields, and apply new techniques and technologies to improve existing models or develop innovative solutions.
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Experience with deep learning frameworks such as Keras, Tensorflow, Pytorch, etc. Applying deep learning frameworks to challenges in social and behavioral science domains.
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deep learning hands on finance jobs Company: Apple
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