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Position: Machine Learning Research Engineer
Institution: Alldus
Location: California, United States
Duties: As the ML Research Engineer, you will lead state-of-the-art research to develop and improve the agentic system; Generate new experiment ideas to optimize product performance and enhance user experience; Spearhead dataset collection, generation and optimization efforts to support model training and evaluation; Own key technical areas including model/inference optimization, distributed training, fine-tuning, instruction fine-tuning, and multi-modal LLMs; Collaborate closely with cross-functional teams to translate research findings into actionable insights and product enhancements; Stay updated with the latest advancements in machine learning and related fields, and actively contribute to the company’s intellectual property through patents and publications
Requirements: PhD, Master’s or Bachelor’s degree in Computer Science, Engineering, Mathematics or similar; At least three years of industry experience in machine learning research and development; Demonstrated expertise in machine learning techniques, particularly in transformer-based systems; Proven track record of impactful contributions to machine learning research, with at least one first-author publication in a reputable conference or journal
   
Text: Machine Learning Research Engineer As the ML Research Engineer, you will lead state-of-the-art research to develop and improve the agentic system; Generate new experiment ideas to optimize product performance and enhance user experience; Spearhead dataset collection, generation and optimization efforts to support model training and evaluation; Own key technical areas including model/inference optimization, distributed training, fine-tuning, instruction fine-tuning, and multi-modal LLMs; Collaborate closely with cross-functional teams to translate research findings into actionable insights and product enhancements; Stay updated with the latest advancements in machine learning and related fields, and actively contribute to the company’s intellectual property through patents and publications PhD, Master’s or Bachelor’s degree in Computer Science, Engineering, Mathematics or similar; At least three years of industry experience in machine learning research and development; Demonstrated expertise in machine learning techniques, particularly in transformer-based systems; Proven track record of impactful contributions to machine learning research, with at least one first-author publication in a reputable conference or journal
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