Senior ML Engineer

• Identify and employ the right ML tools and algorithms
• Large-scale distributed systems must be designed, built, and maintained to accommodate the entire pipeline, which includes data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving
• Maintain high standards of code quality and careful design to ensure ML Model performance, uptime, and scale
• Manage a platform that automates the development, training, deployment, and revision of machine learning models

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 4+ years of relevant experience as a Machine Learning Engineer
• Demonstrable experience working with AI/ML, C++, Python, and PyTorch
• In-depth knowledge of GPT and transformers models is desirable
• Nice to have prior experience implementing optimizing algorithms
• Some experience interacting closely with hardware and a deeper knowledge of how CPUs work is preferred
• In-depth knowledge of rewriting neural networks and the LSH (Locality Sensitivity Hashing) algorithm is nice to have
• Excellent English communication skills, both conversational and written