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You will work on core LLM technologies, including developing Reward Model (RM) and Learning from Human Feedback (LHF), and building framework to enable fair and comprehensive LLM evaluation. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Machine learning model evaluation is important to understand model performance. Senior Software Engineer, Model Evaluation, ML Platform. You will report to the TLM with focus on developing large-scale and efficient model evaluation infrastructure and solutions for Waymo.
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As Director of Engineering you will manage the Evaluation and Validation group within our Software Engineering organisation. The Evaluation and Validation group is on the critical path to company success.
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Design and implement backend services and tools that handle fleet data collection, batch processing, training, simulation, and evaluation based on real-world sensor data. The systems you build will have a large impact on Autopilot, from fleet data collection & processing, to Machine Learning workflows, to evaluation and validation of the Autopilot software stack.
$104,000 - $360,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Reporting to the Evaluation and Learning Director, the new ELO will have the opportunity to use their technical expertise from the field of strategy, evaluation, and learning to act as a thought partner to the Population and Reproductive Health program (50% of role), Climate program (20%), and the Mission Investing team (15.
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QUALIFICATIONS Knowledge of: Curriculum evaluation processes, guidelines, policies, and procedures used in admissions, articulation, transfer, matriculation, and retention processes for two and four-year colleges, as well as state community college regulations and requirements.
$6,012.96 - $8,053.36 a monthFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Research Director, Regulation, Evaluation, and Governance Lab, Stanford Law School. The Stanford Regulation, Evaluation, and Governance Lab ( RegLab. As a Research Director, you will lead one of our main portfolios of research – which include using satellite imagery to strengthen environmental governance; AI and active learning to improve tax compliance; and NLP methods to make mass adjudication more fair and accurate.
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You will work on data and evaluation pipeline of both human and synthetic data for model evaluation, leverage ML technologies such as reinforcement learning with human feedback and adversarial models.
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In this role, you will be part of Product RF Definition team and support the Evaluation and Characterization of various technologies from RF perspective. Create offline SDR that can modulate / demodulate symbols of a pre-defined technology.
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