Scale AI - Machine Learning Fellow - Human Frontier Collective
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Requirements
• Advanced degree (PhD or higher) in Computer Science, Electrical/Computer Engineering, Applied Math, AI/ML, or a related field. • Hands-on experience building and fine-tuning deep learning models in PyTorch, including architectures like Transformers, CNNs, and diffusion models. • Familiarity with GPU performance and optimization, including memory management, CUDA kernels, and profiling tools. • Skilled at analyzing research-level model code and giving clear, actionable feedback. • Able to clearly explain complex ML behaviors and trade-offs.
Responsibilities
• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design and review advanced deep learning problems while analyzing and critiquing complex ML code and AI-generated PyTorch implementations. Apply expert judgment on GPU performance, profiling, and hardware-aware architecture and scaling trade-offs. • Collaborative Work: • HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. • HFC Community: • Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark). • Contribute to Research Publications:
Benefits
• Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. • Professional Development: • Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. • Flexible Schedule: • Competitive Pay: Up to $80/hr, based on experience, skills assessment, and location. • Competitive Pay: • Application Process • Application Process • Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. • Interview: • PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. • PLEASE NOTE: • At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. • We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. • We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information. • We comply with the United States Department of Labor's Pay Transparency provision. • PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. • PLEASE NOTE:
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