- Google (Mountain View, CA)
- …with a PhD degree. + 2 years of experience in genAI, LLMs, and supervised machine learning . + Ability to think critically, analyze complex problems, and develop ... Senior Data Scientist, Research , Real World Journeys _corporate_fare_ Google _place_ Mountain...to apply advanced modeling techniques (eg, LLM, causal inference, machine learning , etc.) to solve complex business… more
- Dana-Farber Cancer Institute (Boston, MA)
- …single cell and spatial transcriptomic datasets using advanced artificial intelligence and machine learning (AI/ML) methods to advance efforts for translational ... and single cell data from patient tumors with sophisticated machine learning approaches. These datasets will provide...is a leader in life changing breakthroughs in cancer research and patient care. We are united in our… more
- Meta (Redmond, WA)
- …passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators 2. Work with algorithm research teams to map ML ... augmented reality systems. Come work alongside expert engineers and research scientists to create the technology that makes VR...will be part of a team that includes compiler, machine learning algorithms and software, firmware and… more
- Google (San Jose, CA)
- …, perception, or computer vision). + Experience in C++, Python, Generative AI, Machine Learning . **Preferred qualifications:** + Master's degree or PhD in ... Research Software Engineer, Multimodal AI _corporate_fare_ Google _place_...as JAX, TensorFlow, or PyTorch. + Experience with multimodal learning , large language models or AI agents. + Experience… more
- Meta (Redmond, WA)
- …by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta ... **Summary:** At Reality Labs Research (RL-R), our goal is to explore, innovate...tracking progress of contingent staff 6. Document and communicate learning , understanding, and problem solving to a wide range… more
- University of North Carolina- Chapel Hill (Chapel Hill, NC)
- …of the position) a PhD in Computer Science or EE/ ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area. ... human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning . The duties of the postdoctoral scholar will include aiding the… more
- Battelle Memorial Institute (Beavercreek, OH)
- …+ Programming experience (eg, Python, R). + Experience applying supervised and unsupervised machine learning techniques against real world problems. + Willing to ... Battelle delivers when others can't. We conduct research and development, manage national laboratories, design and...of education/experience in a relevant field. + Excitement about learning new technical subject areas and curiosity about S&T… more
- Texas A&M University System (Corpus Christi, TX)
- …The postdoc will design and evaluate networking architectures and protocols, develop machine - learning methods for decision-making, and validate results on lab ... Job Title Postdoctoral Research Associate Agency Texas A&M University - Corpus...AI/ML for network security/automation (DL/RL/LLMs/RAG/FL) including anomaly detection, policy learning , or intrusion detection in RAN/edge systems. + Practical… more
- JPMorgan Chase (New York, NY)
- …volatility and correlation modeling is highly desirable. + Experience with neural networks, machine learning , deep learning models, or large language model ... companies, finance companies, mutual funds, and hedge funds. The Credit Quantitative Research (QR) team is responsible for the development and maintenance of models… more
- NVIDIA (Santa Clara, CA)
- …in LLMs, systems, or related areas. + 2+ years of experiences in machine learning , systems, distributed computing, or large-scale model training. + Proficiency ... We are now looking for a Senior Research Scientist passionate about Large Language Model (LLM)...+ Experience developing andscaling large distributed systems for deep learning . + Contributions to open-source LLM systems or large-scale… more