{"schemaVersion":"jobsearcher.job.v1","id":"990e42a4311e10469cfaa93f","url":"https://jobsearcher.com/jobs/990e42a4311e10469cfaa93f","canonicalUrl":"https://jobsearcher.com/jobs/990e42a4311e10469cfaa93f","title":"Machine Learning Engineer Intern","description":"BrainChip is looking for a curious and technically-driven Machine Learning Intern Neuromorphic & Edge AI. This is a unique opportunity to move beyond standard GPU-heavy deep learning and dive into the world of Neuromorphic Computing.As an intern, you will help bridge the gap between traditional Artificial Neural Networks (ANNs) and BrainChip’s Akida™ event-based processor. You’ll be working on the future of \\\"AI at the Edge\\\"—where power efficiency and real-time learning are the ultimate goals.Key Responsibilities1. Model Conversion & BenchmarkingUse BrainChip’s MetaTF™ framework to convert standard models (Keras/TensorFlow) into Spiking Neural Networks (SNNs).Test and compare the accuracy and power consumption of models running on Akida hardware versus traditional CPUs/GPUs.Help maintain and expand the Akida Model Zoo by training and validating new models for specific use cases (e.g., keyword spotting, gesture recognition).2. Data Pipeline & QuantizationPre-process datasets for event-based processing (e.g., ImageNet, CIFAR, or specialized sensor data).Assist in Quantization-Aware Training (QAT) to ensure models maintain high performance at low bit-widths (1, 2, or 4-bit).Experiment with \\\"on-chip\\\" learning scenarios where the model adapts to new data without retraining in the cloud.3. Software & Tools SupportWrite Python scripts to automate testing and performance profiling.Document your findings and create tutorials or \\\"Jupyter Notebook\\\" examples to help our developers and customers understand neuromorphic workflows.Qualifications & SkillsEducation: Currently pursuing a degree (B.S., M.S., or PhD) in Computer Science, Data Science, Electrical Engineering, or a related technical field.Core ML Knowledge: Solid understanding of Neural Network architectures (CNNs are a must; RNNs/Transformers are a plus).Programming: Proficient in Python. Familiarity with TensorFlow/Keras, Pytorch and ONYX is highly preferred.Mathematics: Comfortable with the linear algebra and calculus concepts behind backpropagation and optimization.The \\\"Neuromorphic\\\" Edge: You don’t need to be an expert in Spiking Neural Networks yet, but you should have a strong interest in biologically-inspired AI and low-power hardware.Why Intern at BrainChip?Real Hardware Access: You won't just be running simulations; you’ll be deploying code onto physical Akida PCIe and SoC kits.Mentorship: Work directly with senior ML researchers and hardware architects who are pioneers in the neuromorphic space.Impact: Your benchmarks and model optimizations could end up in the hands of global customers building the next generation of smart devices.Intern Program:Start and End appx 3 months Flexible start depends on University’s summer schedule (example May – June start)End Aug/Sept$28 per hour 25 hrs per week","company":"Brainchip","rawCompany":"brainchip","city":"Irvine","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-10T02:51:50.031Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer Intern","description":"BrainChip is looking for a curious and technically-driven Machine Learning Intern Neuromorphic & Edge AI. This is a unique opportunity to move beyond standard GPU-heavy deep learning and dive into the world of Neuromorphic Computing.As an intern, you will help bridge the gap between traditional Artificial Neural Networks (ANNs) and BrainChip’s Akida™ event-based processor. You’ll be working on the future of \\\"AI at the Edge\\\"—where power efficiency and real-time learning are the ultimate goals.Key Responsibilities1. Model Conversion & BenchmarkingUse BrainChip’s MetaTF™ framework to convert standard models (Keras/TensorFlow) into Spiking Neural Networks (SNNs).Test and compare the accuracy and power consumption of models running on Akida hardware versus traditional CPUs/GPUs.Help maintain and expand the Akida Model Zoo by training and validating new models for specific use cases (e.g., keyword spotting, gesture recognition).2. Data Pipeline & QuantizationPre-process datasets for event-based processing (e.g., ImageNet, CIFAR, or specialized sensor data).Assist in Quantization-Aware Training (QAT) to ensure models maintain high performance at low bit-widths (1, 2, or 4-bit).Experiment with \\\"on-chip\\\" learning scenarios where the model adapts to new data without retraining in the cloud.3. Software & Tools SupportWrite Python scripts to automate testing and performance profiling.Document your findings and create tutorials or \\\"Jupyter Notebook\\\" examples to help our developers and customers understand neuromorphic workflows.Qualifications & SkillsEducation: Currently pursuing a degree (B.S., M.S., or PhD) in Computer Science, Data Science, Electrical Engineering, or a related technical field.Core ML Knowledge: Solid understanding of Neural Network architectures (CNNs are a must; RNNs/Transformers are a plus).Programming: Proficient in Python. Familiarity with TensorFlow/Keras, Pytorch and ONYX is highly preferred.Mathematics: Comfortable with the linear algebra and calculus concepts behind backpropagation and optimization.The \\\"Neuromorphic\\\" Edge: You don’t need to be an expert in Spiking Neural Networks yet, but you should have a strong interest in biologically-inspired AI and low-power hardware.Why Intern at BrainChip?Real Hardware Access: You won't just be running simulations; you’ll be deploying code onto physical Akida PCIe and SoC kits.Mentorship: Work directly with senior ML researchers and hardware architects who are pioneers in the neuromorphic space.Impact: Your benchmarks and model optimizations could end up in the hands of global customers building the next generation of smart devices.Intern Program:Start and End appx 3 months Flexible start depends on University’s summer schedule (example May – June start)End Aug/Sept$28 per hour 25 hrs per week","datePosted":"2026-04-10T02:51:50.031Z","dateModified":"2026-04-10T02:51:50.031Z","hiringOrganization":{"@type":"Organization","name":"Brainchip","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"990e42a4311e10469cfaa93f"},"url":"https://jobsearcher.com/jobs/990e42a4311e10469cfaa93f"}}