NVIDIA
Technology
PrincipalMachineLearningEngineer,AcceleratedApacheSpark
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Machine Learning Engineer, Accelerated Apache Spark at NVIDIA. Skills: Machine Learning, Apache Spark, GPU acceleration. Design machine learning solutions. Implement machine learning solutions”
Industry & Context.
System issues; Application optimization
What They're Looking For.
Must Have
BS, MS, or PhD or equivalent experience, 12+ years of professional experience, 5+ years as technical lead, 2+ years hands-on experience with Apache Spark, Excellent programming skills in Python, Deep experience with sophisticated ML methodologies, Expertise in feature engineering, Expertise in feature importance assessment, Expertise in developing boosted tree model solutions
Nice to Have
PhD preferred, Understanding of Apache Spark internals, Familiarity with NVIDIA GPUs and CUDA, Experience coding in Scala, Experience coding in Java, Experience coding in C++
What You'll Do.
Design machine learning solutions
Implement machine learning solutions
Develop advanced algorithms
Develop adaptive systems
Develop AI-based agents
Develop AI-based tools
Collaborate with partners
Collaborate with customers
Maintain domain expertise
Provide technical mentorship
Provide leadership in data science
Provide leadership in machine learning
How You'll Work.
Team & Collaboration
Key partners; Customers
Full Job Description
NVIDIA is looking for a Machine Learning (ML) Engineer to join the GPU accelerated Apache Spark team. Apache Spark is the most popular data processing engine in data centers for running large scale workloads for ETL, SQL, and ML/DL model training and inference pipelines, spanning many domains and use cases. NVIDIA GPUs offer a promising avenue for significantly speeding up and/or lowering the cost of running Apache Spark applications at massive scales. You will work with the open source community to accelerate Apache Spark with GPUs. You will apply the latest ML/AI methods to empower enterprises to migrate Spark workloads onto GPUs at scale. **What you’ll be doing:** * Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads. * Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs. * Develop AI-based agents and tools to assist with fixing system issues and application optimization. * Collaborate with key partners and customers on the deployment of complex machine learning solutions in various environments. * Maintain deep domain expertise by knowing the latest published advances in ML systems and algorithms. * Provide technical mentorship and leadership in data science and machine learning to a team of engineers. **What we need to see:** * BS, MS, or PhD or equivalent experience in Machine Learning, Data Science, Computer Science or a closely related field. * 12+ years of professional experience in designing, implementing, and productionizing high-quality ML/DL solutions. * 5+ experience as technical lead in ML model development. * Proven hands-on experience (2+ years) with large-scale data processing platforms, such as Apache Spark. * Proven ability to employ modern tooling and sound techniques for all aspects of crafting, deploying, and maintaining machine learning models. * Excellent programming skills in Pyt
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