NVIDIA Ltd.
Location

Santa Clara, California,
United States

Job Type
Full Time
Apply Deadline

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Details

Financial Services (FSI) continues to expand its use of AI and GPU acceleration, do you want to be a part of the team that brings AI technology to this industry? We are looking for a Data Scientist to join the NVIDIA FSI team to focus on assisting strategic clients' journey bringing AI to production and solve very complex problems. The FSI team works with leading edge clients in the latest breakthroughs in deep learning and machine learning. If you are passionate about AI and how it can unlock Financial Services, we should talk. NVIDIA is the world leader in GPU accelerated computing, and is looking for data scientists like you to help customers design and build enterprise AI solutions using our newest technology. As a Data Scientist on the Solution Architecture team, you will work closely with customers and partners to tackle hard problems in the industry and deploy AI solutions at scale. Join us in this exciting journey! What Youll Be Doing - Lead strategic engagements with customer data science teams to develop and demonstrate solutions based on NVIDIAs ground breaking GPU accelerated data analytics and AI platforms - Perform in-depth analysis and optimization of state-of-the art models to ensure the best performance on current- and next-generation GPU architectures including our DGX systems and DGX SuperPOD AI supercomputers - Work directly with client Data Scientists and developers on focused issues or projects. - Build collateral (notebook/ blog) applied to Finance industry use-cases such as: NLP/NLU, Recommender, GAN, monte-carlo, Fraud, Transfer Learning Toolkit for Payments, Market Simulation for Model Validation and Development, Synthetic Data Generation Expanding sparse data sets to be realistic and show benefit of GPU acceleration, GANs to Identify Market Anomalies, TCNs for Time Series, etc. - Collaborate with key industry partner/customer developers to build GPU accelerated solutions applied to their products and technologies - Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers. Enable development and growth of NVIDIA products through customer feedback and proof-of-concept evaluations. - Above all, you are empowered to bring NVIDIA technology to life in the Enterprise. You are given the tools to achieve success as well as the backing of all of NVIDIA, other Data Scientists, Solution Architects and Engineering. You will be the tip of the arrow and brains of NVIDIA that our customers will rely on. What We Need To See - Strong foundation expertise BS, MS, PhD in Engineering, Physics, Mathematics, Computer Science or equivalent work experiences. - 5+ years experience in model development, Software Engineer with proven track record in writing code in Python, C++ - Ideal candidate would have a well established background in Machine/Deep Learning algorithms with frameworks such as TensorFlow, PyTorch, Spark - Ability to communicate your ideas/code clearly through blog posts, kernels, GitHub - Very strong analytical, problem solving skills - Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, as well as Cloud services, Spark and Linux. - Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams. - You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team - Experience working with DevOps including but not limited to Docker/Containers, Kubernetes and Data Center deployments. - Ability to multitask effectively in a dynamic environment. Ways To Stand Out From The Crowd - Demonstrate expertise in one or more of these areas: Data Analytics, Machine Learning, Computer Vision, Natural Language Processing, Automatic Speech Recognition or Synthesis and Recommenders. - Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work. - Development experience with NVIDIA software libraries and GPUs - Experience with NVIDIA platforms and related technology including Jarvis (conversational AI), Merlin (recsys), and gQuant (quantitative analysis) We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. NVIDIA is widely considered to be one of the technology worlds most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning

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