[Remote] ML Engineering Intern - Nebula

Note: The job is a remote job and is open to candidates in USA. Symbl.ai is a venture-funded AI startup focused on building conversational AI. As a Machine Learning Engineering Intern, you will work on the Nebula LLM, tackling real-world challenges in machine learning and language technology while collaborating with experienced professionals. Responsibilities Collaborate on the development and enhancement of the Nebula LLM, our flagship product Dive into real-world data, exploring unique challenges in language technology Implement machine learning algorithms and techniques to solve complex problems Work closely with experienced professionals to gain insight into AI/ML research Engage in a variety of projects that directly impact our product's capabilities Skills Hold a Ph.D. or Master's degree in a relevant scientific or technical field Have a strong foundation in machine learning, natural language processing, and deep learning Be proficient in programming languages such as Python, and exhibit familiarity with ML libraries Have experience working on large-scale ML and Deep Learning projects Have demonstrable prior hands-on experience and projects in relevant areas Demonstrate strong analytical and problem-solving skills Possess effective communication and teamwork abilities Show a passion for pushing the boundaries of AI and language technology Company Overview Symbl.ai | The Real-time AI Infrastructure for Human Conversations Get access to state of the art understanding and generative models built for all types of communication data to transform unstructured conversations into knowledge, events and insights. It was founded in 2018, and is headquartered in Seattle, Washington, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship Symbl.ai (Acq. by Invoca) has a track record of offering H1B sponsorships, with 1 in 2025, 3 in 2022. Please note that this does not guarantee sponsorship for this specific role.