Senior Data Scientist


Job Overview

We are looking for a Machine Learning Engineer/Data Scientist with experience in deploying Machine Learning (ML), Deep Learning (DL) models. As part of the Solution Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and machine learning. This role offers an excellent opportunity to build your career in the rapidly growing field of machine learning while enabling the world’s most successful companies. Join us in this exciting endeavor!What You’ll Be Doing* Develop and demonstrate solutions based on NVIDIA’s ground breaking ML/DL, data science software and hardware technologies to customers. Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current- and next-generation GPU architectures* Build collateral (notebook/ blog) applied to Finance industry use-cases such as NLP/NLU, recommender, etc. by working closely with customer’s ML/DL developers* Collaborate with key industry partner/customer developers to build ML 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 product features through customer feedback and proof-of-concept evaluationsWhat We Need To See* BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields* 5+ years experience as an ML/Software Engineer with proven ability in writing code in Python, C++* Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark* Ability to communicate your ideas/code clearly through blog posts, kernels, GitHub* Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)* Effective verbal/written communication, and technical presentation skills* Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the teamWays To Stand Out From The Crowd* Skilled in deploying ML/DL models at scale on public cloud computing clusters in production* Development experience with NVIDIA software libraries and GPUs* Knowledge of MLOps technologies such as Docker/containers, Kubernetes, KubeFlow, data center deployments etc. Experience working with enterprise developers building computer vision, NLP, or data analytics applicationsWe make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We are open to remote work location. 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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