We are looking for a Machine Learning Engineer, Data Scientist and Solution Architect with experience in training and deploying Machine Learning (ML), Deep Learning (DL) models. As part of the Telco 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 expand your career in the rapidly growing field of machine learning while empowering the world's most successful telecommunication companies.What you'll be doing:Provide technical mentorship to partners and customers.Engage with customer technical teams on field trials.Be a technical liaison between core product engineering team and partners/customers engineering team.Help in draft requirements for missing features to unblock progress at customers/partners.Educate customers on new NVIDIA AI/ML technologies and platforms.Develop and demonstrate solutions based on NVIDIA’s groundbreaking 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 Consumer Internet industry use-cases such as NLP/NLU, recommender, video understanding etc. Work closely with customer's ML/DL developers.Collaborate with key industry partner/customer developers to provide AI/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 evaluations.What we need to see:MS/PhD in Telecommunications, Data Science/Machine Learning, Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or other Engineering fields or equivalent experience.5+ years of work-related proven industry experience in Telecommunications, Data Science, Machine Learning, Systems Engineering.Experience writing code in Python, C++.Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, XGboost, Scikit-learn, Spark, RAPIDS.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 a vision for growth, real passion for continuous learning and sharing findings across the team.Ways to stand out from the crowd:Skilled in deploying ML/DL models at scale on public cloud computing clusters.Development experience with NVIDIA software libraries and GPUs.Expertise in deploying recommender systems in production.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 applications.Willingness and ability to dive into unfamiliar territories to address complex problems.We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We would prefer candidates in our HQ primarily but are open to remote work. Join us in this exciting endeavor!With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture NVIDIA is widely considered to be one of the technology industry's most desirable employers! NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, robotics, and graphics.The base salary range is $144,000 - $270,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits.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.
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