Machine Learning Developer Intern

Company DescriptionAce AI is powering the AI/ML industry by providing a data-centric platform for enterprise partners to accelerate their AI/ML development and create innovative AI models to address real-world business challenges. Our solutions are cloud-agnostic, offering the flexibility of on-premises and private cloud deployment while ensuring the highest levels of security, privacy, and customization.We are a Batch 17 company at Plug and Play, selected in the top 4% of companies out of 1000 others.Role DescriptionThis is an internship hybrid role for a Machine Learning Developer Intern at Ace AI. The Machine Learning Developer Intern will be responsible for designing, developing, and optimizing AI agents that enhance the data labeling processes. The role involves building models, implementing algorithms, and improving automation to increase scalability and accuracy in the data labeling pipeline. The role is based in the San Francisco Bay Area with flexibility for some remote work.QualificationsStrong understanding of machine learning algorithms and techniques (e.g., supervised/unsupervised learning, reinforcement learning)Experience building and deploying ML models in production environmentsProficiency in programming languages such as Python, TensorFlow, PyTorch, or similar ML frameworksExpertise in Dockerization and containerized deployment of machine learning models and applicationsFamiliarity with data labeling processes and annotation toolsUnderstanding of data preprocessing, feature engineering, and model evaluation techniquesExcellent problem-solving skills and attention to detailBachelor’s degree in Computer Science, Engineering, or a related field (Master’s or PhD preferred)At Ace AI, You’ll EnjoyThe ability to transition into a paid role at the end of your probationary period.The opportunity to work with an energetic, empowered, fun, passionate and ambitious team with a high revenue goal for our first year.The chance to shape the future of AI adoption with innovative technology.A flexible and dynamic work environment that values creativity and initiative with a high emphasis on career growth. Startups are better than FAANG for career growth.To work closely with design partners and customers