A company is looking for a Machine Learning Engineer, Infrastructure.Key Responsibilities : Design, implement, and maintain infrastructure supporting machine learning applicationsBuild and improve the ML platform for continuous integration and training of modelsOptimize data pipeline components and automate model training and deploymentRequired Qualifications : 4 years of experience in ML Systems EngineeringProficiency in Python or other common languages in the ML domainExperience with DevOps tools like Kubernetes, Docker, and AnsibleKnowledge of cloud computing platforms such as AWS, GCP, or AzureFamiliarity with infrastructure-as-code tools like Terraform and monitoring tools
Machine Learning Algorithm Engineer
Our team is looking for a Signal Processing, Machine Learning expert with solid sensing technologies fundamentals, strong programming skills, and a commitment to continuous learning, effective collaboration, and adaptability. Signal processing, Machine learning, linear algebra, and statistics expert...
Machine Learning Engineer
Familiarity in Machine Learning frameworks, such as Scikit-learn, Pytorch, and Keras TensorFlow. ...
Principal Machine Learning Engineer
Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomou...
ASIC Register Transfer Level, Design Engineer, Machine Learning Accelerators
ASIC RTL Design Engineer, Machine Learning Accelerators. Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience. In this role, you will be part of a team developing cutting-edge ASICs used to accelerate Machine Learning computation in Google's data cent...
Compiler Engineer II - Machine Learning, Annapurna Labs
The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent th...
Machine Learning Engineer
Strong background in machine learning, including experience with algorithms such as regression, clustering, and neural networks. Design and implement machine learning algorithms to analyze plant data. Test and validate machine learning models to ensure accuracy and reliability. Collaborate with othe...
Machine Learning Engineer Graduate (Monetization Tech - Lead Ads Technology) - 2024 Start (BS/MS)
Our team is committed to develop novel machine learning solutions for ranking, building scalable foundations and launching various products that maximize the efficiency of lead ads delivery. Participate in the innovations of machine learning models, AIGC usage scenarios, etc. Have a clear understand...
Machine Learning Engineer - Anti-Fraud
As a Machine Learning Engineer working on Fraud and Risk, you would work with backend engineers, product managers and operations teams across the company to understand and mitigate the risks to our business. We are looking for a Machine Learning Engineer to help detect and reduce risk to Robinhood -...
Machine Learning Engineer
Adobe is looking for multiple Machine Learning Engineers from mid to senior level to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize the experience of Adobe’s Digital Experience customers. Deep understanding of statistical modeling, machine learn...
Samsung Ads - Machine Learning Model Engineer - Lead
As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. Introduce and enforce best engineering practices, up...