We are looking for a Machine Learning Engineer/Data Scientist 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:
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 Consumer Telecommunications 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 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:
Pursuing a MS/PhD in Telecommunications, Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or other Engineering fields
Experience writing code in Python, C++
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, XGboost, Scikit-learn, 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 attitude 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.
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 hourly rate for our interns is $19 - $93. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
You will also be eligible for Intern [benefits](https://www.nvidia.com/en- us/benefits/interns/).
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.