- Formation Bio (New York, NY)
- …methodologies, and real-world evidence validation Strong experience with LLMs, Graph Neural Networks , and multi-modal data integration (-omics, RWD, literature) ... Experience with large-scale biobank data and genomics (UK BioBank, FinnGen, AllofUs) Background working at the intersection of data science, product development, and business strategy in pharma/biotech Formation Bio is prioritizing hiring in key hubs,… more
- Twist BioScience (South San Francisco, CA)
- …therapeutic proteins for discovery and engineering applications.Understanding of LLMs and/or neural network models for sequence designDemonstrated experience in ... analyzing biological datasets (eg, NGS), visualizing the results (eg, interactive plots), and utilizing common file formats (eg, FASTA, FASTQ).Basic understanding of cloud computing, workflow management systems, and CI/CD pipelines.High interest in learning… more
- Google (Seattle, WA)
- …+ Experience with Video Processing, 3D Reconstruction, Image Segmentation. + Experience with Neural Radiance Fields, Neural Networks , Neural Renderings. ... to improve quality and performance of reconstruction and rendering pipelines using neural networks , the latest generative AI approaches, and large-scale data… more
- Rockefeller University (New York, NY)
- …imaging to record neural activity, and then use computational analysis and neural network modeling techniques to uncover patterns in these large datasets. ... the information provided by the eyes. The Laboratory of Neural Systems is interested in the neural processes that form object representations as well as those… more
- Lilly (Indianapolis, IN)
- …and communication abilities to join our team for innovative research on neural mechanisms regulating body weight. Your work will combine molecular biology, animal ... physiology, neural anatomy and RNA sequencing to investigate Gut-Brain communication....status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all… more
- Meta (New York, NY)
- …Scientist, Neural Interfaces Responsibilities: 1. Research and development of neural networks , machine learning or other computational models by leveraging ... EMG signals and other relevant data 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Help transition and deliver our work from research into product 4. Adapt standard machine learning methods to best leverage… more
- Stanford University (Stanford, CA)
- …and implement scalable pipelines for mechanistic interpretability analyses of large neural networks * Develop and automate feature visualization techniques ... in industry. * Access to unique datasets spanning artificial and biological neural networks * State-of-the-art computing infrastructure * Competitive salary and… more
- Highmark Health (Des Moines, IA)
- …experience designing, implementing, and optimizing various Graph Neural Network (GNN) architectures, graph convolutional networks , and other graph-specific ... building and enriching large-scale knowledge graphs, and developing next-generation Graph Neural Networks (GNNs), graph convolutional networks (GCNs),… more
- Google (Mountain View, CA)
- …well as the overall training recipes, are crucial components of nearly every deep neural network pipeline. The team you would join studies optimization for deep ... maintain deep learning research infrastructure to run large scale neural network experiments + Implement deep learning...training algorithms using JAX and Flax + Train deep neural networks to achieve record-breaking results on… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...+ Contribute to the development of cutting edge deep neural networks , computer vision and DSP algorithms… more
- Lilly (Indianapolis, IN)
- …of experience with tree-based machine learning models (including XGBoost and LGBM) and deep neural networks (including convolutional neural networks and ... status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all...Our current groups include: Africa, Middle East, Central Asia Network , Black Employees at Lilly, Chinese Culture Network… more
- Stanford University (Stanford, CA)
- …+ Design and guide interpretability studies that bridge artificial and biological neural networks + Advanced techniques for circuit discovery, feature ... interpretability + Access to unique datasets spanning artificial and biological neural networks + State-of-the-art computing infrastructure + Competitive salary… more
- Qualcomm (San Diego, CA)
- …and metrics + Integrate and optimize large language models (LLMs) and neural network architectures into production-ready software. + Collaborate with ... Stay informed on the latest trends in AI, LLMs, neural networks , and related technologies to drive...evaluation methodologies for fine-tuned language models + Familiarity with neural network architectures and how they power… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...will research, prototype, and validate low‑precision techniques that make neural networks leaner and faster on the… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...skills across the hardware-software stack - running and debugging Neural Networks in HW and SW development… more
- Meta (Sunnyvale, CA)
- …tools for efficient ingestion of sensor data, scalable modal training and neural network architecture development, visualization of complex multi-modal sensor ... PyTorch or TensorFlow 8. Familiarity with modern machine learning algorithms, specifically Convolutional Neural Networks (CNN), Recurrent Neural Networks … more
- Walmart (Bentonville, AR)
- …LLMS to summarize and build large scale chat applications + Train large scale neural networks and deploy them as a automated batch pipelines using airflow. ... Deep understanding of optimization theory, the inner working of neural network , attention architecture + Proven track...track record of solving large scale business problems using neural networks utilizing distributed + Demonstrate ability… more
- Unlimit Ventures (San Diego, CA)
- …SciPy, etc.). + Understanding of a wide range of ML algorithms (SVMs, neural networks , clustering algorithms, etc.) and ensemble methods. + Experience with ... + Deep learning expertise (knowledge of designing and implementing multiple neural network architectures, experience with transfer learning techniques,… more
