- Capital One (New York, NY)
- …Team Description **Team Description:** The Servicing Intelligence data science team leverages deep learning model architectures to help our internal customers ... You have experience with clustering, classification, sentiment analysis, time series, and deep learning . + A data guru. "Big data" doesn't faze you. You have… more
- Capital One (Mclean, VA)
- …You have experience with clustering, classification, sentiment analysis, time series, and deep learning . **Basic Qualifications:** Currently has, or is in the ... Qualifications:** At least 2 years experience in AI, Information Retrieval, Deep Learning or NLP. PhD in "STEM" field (Science, Technology, Engineering, or… more
- Regions Bank (Atlanta, GA)
- …GenAI, LLMs) can drive strong business value + Leverages statistical analysis, machine learning (ML) and deep learning (DL) techniques, collaborating with ... supports the Data Science team by deepening technical bench strength across Machine Learning (ML), MLOps and GenAI. This position will drive the development of… more
- Amazon (Bellevue, WA)
- …delivery use cases. Key job responsibilities - Design and implement novel deep learning architectures combining a multitude of modalities, including image, ... at Amazon scale, taking advantage of latest developments in hardware and deep learning libraries. - As a foundation model developer, collaborate with multiple… more
- Mount Sinai Health System (New York, NY)
- …related field. + Strong background in computer vision, medical imaging, or multimodal deep learning . + Proficiency in Python and PyTorch. + Demonstrated ... women's health. **Responsibilities** + Develop and adapt computer vision and multimodal deep learning methods for medical data (radiology, pathology, genomics,… more
- SAP (Palo Alto, CA)
- …1 year working with LLMs. . Extensive hands-on experience with LLMs, fine-tuning, or deep learning . . Strong understanding of the challenges and opportunities in ... and truly belong. What's in it for you? Constant learning , skill growth, great benefits, and a team that...we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for… more
- DoorDash (San Francisco, CA)
- …use of KV caching, batching, and memory-efficient inference. + Familiarity with deep learning frameworks (PyTorch, TensorFlow) and large language models (LLMs) ... most reliable on-demand logistics engine. Behind the scenes, our Machine Learning Platform (MLP) powers critical real-time decision-making for millions of orders… more
- NVIDIA (Santa Clara, CA)
- …and interpersonal skills. Ability to lead cross-functional technical initiatives. NVIDIA's deep learning platforms have made major impact to various ... creative people to help us take on more of these unique opportunities in deep learning cloud solutions. NVIDIA is widely considered to be one of the technology… more
- Trane Technologies (Manchester, NH)
- …engine supports a self-operating building that requires no human intervention. Using deep learning , cloud-based computing, and our proprietary process, our ... BrainBox AI, Nuvolo, Thermo King, Trane, and more-our teams combine deep technical expertise with advanced analytics to create data-driven solutions that… more
- NVIDIA (Santa Clara, CA)
- …gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - ... PhD in EE, CS, or related technical field (or equivalent experience). + Deep , hands-on expertise of working with ODMs/CSPs, firmware update design and out-of-band… more
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