Senior Machine Learning Engineer

🔥 1 minute ago

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop innovative machine learning algorithms and models for NVIDIA AI products • Build production models for anomaly detection, predictive maintenance, and usage optimization • Develop tools that surface real-time telemetry, efficiency metrics, and long-term trends • Develop forecasting and simulation models for global-scale planning • Analyze complex datasets to determine approaches for model training and optimization • Translate findings into engineering actions with infrastructure, operations, and product teams • Participate in cross-functional projects integrating machine learning capabilities into NVIDIA products

🎯 Requirements

• Master's degree or PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field, or equivalent experience • 8+ years of experience applying Machine Learning to operational systems • Proven track record of building and deploying Machine Learning models in production environments • Experience with time series analysis and optimization algorithms • Familiarity with distributed systems and cloud platforms such as AWS and Kubernetes • Strong software engineering skills and proficiency in Python • Effective verbal/written communication and technical presentation skills • Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar • Track record of delivering high-impact projects in a fast-paced environment • Experience solving capacity planning problems • Deep understanding of GPU performance metrics • Familiarity with Prometheus and PromQL

🏖️ Benefits

• Equity • Benefits