Manage a team of highly effective researchers and engineers. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects. Develop and evaluate methods for integrating machine learning into human-in-the-loop labeling systems to ensure high-quality and throughput labels for our customers; Implement and improve on state-of-the-art models developed internally and from the community and put them into production to solve problems for our customers and taskers; Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Requirements:
Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization; 7+ years of full time work experience using LLM, deep learning, deep reinforcement learning, or natural language processing in a production environment. Especially training foundational AI models through pre-training, fine-tuning, and RLHF; A vision for where the field should go and what Scale should do to enable it; Strong programming skills in Python, experience in PyTorch or Tensorflow
Text:
Manager, Machine Learning Research Engineer, Generative AI Manage a team of highly effective researchers and engineers. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects. Develop and evaluate methods for integrating machine learning into human-in-the-loop labeling systems to ensure high-quality and throughput labels for our customers; Implement and improve on state-of-the-art models developed internally and from the community and put them into production to solve problems for our customers and taskers; Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization; 7+ years of full time work experience using LLM, deep learning, deep reinforcement learning, or natural language processing in a production environment. Especially training foundational AI models through pre-training, fine-tuning, and RLHF; A vision for where the field should go and what Scale should do to enable it; Strong programming skills in Python, experience in PyTorch or Tensorflow
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