Machine Learning Engineer, ML Runtime & Optimization, Mid-Level
Jobright.ai - Fremont, California, us, 94537
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Machine Learning Engineer, ML Runtime & Optimization, Mid-Level
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Jobright.ai Machine Learning Engineer, ML Runtime & Optimization, Mid-Level
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Jobright.ai Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. Responsibilities: • Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. • Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. • Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. • Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Qualifications: Required: • BS/MS or Ph.D in computer science, electrical engineering or a related discipline. • Strong programming skills in C/C++ or Python. • Experience on model optimization, quantization or other efficient deep learning techniques. • Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. • Experience with profiling, benchmarking and validating performance for complex computing architectures. • Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. • Strong communication skills and ability to work cross-functionally between software and hardware teams. Preferred: • Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. • Experience in computer vision, machine learning and deep learning. • Strong knowledge of software design, programming techniques and algorithms. • Good knowledge of common deep learning frameworks and libraries. • Deep knowledge on system performance, GPU optimization or ML compiler. Company: Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. Founded in 2016, the company is headquartered in Fremont, California, USA, with a team of 1001-5000 employees. The company is currently Public Company. Pony.ai has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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