Bachelor degree in: Computer Science, Mathematics, Physics, Business Administration, or equivalent experience
2+ years of experience in ML Data Operations or ML R&D
Exhibits excellent program/project management, communication, interpersonal, analytical, and organizational skills
Preferred Qualifications
Scripting skills (Python) to automate tasks, compute metrics and explore use of workflows combining ML and human inputs
Demonstrated capacity to mentor and grow people
A talent for creating ML datasets focusing on end-to-end user experience by foreseeing issues, handling edge cases, and removing bias while ensuring inclusion and fairness
Proficient in problem-solving and critical thinking, with a focus on innovation and continuous improvement
Self-starter, able to handle ambiguity, identify risks, troubleshoot, and find the right people and tools to get the job done
Capacity to multitask and manage multiple projects in parallel while meeting deadlines, and maintaining clear and effective communication with stakeholders
Familiarity with state-of-the-art ML techniques, including generative technologies (transformer architecture, CLIP and other visual and text embedding models, diffusion models)