Description
This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension.
As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.
You'll get invited to engage in high-impact projects with our partnered AI labs and platforms, helping models understand real-world deep learning workflows by designing, reviewing, and optimising PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimisation, scaling, and trade-offs.
Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
You'll also contribute to research publications, collaborating with Scale's research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.
We're looking for individuals with a PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field, with 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
Key skills include strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow), experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain), and a detail-oriented, innovative mindset with a passion in applied AI research and a commitment to collaboration.
Benefits include professional development, joining a top-tier network, flexible scheduling, and competitive pay.