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We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Spun out of Stanford in 2019, we have built an intelligent analytics platform fueled by our revolutionary device which uses machine perception and sensor fusion to provide an operations digital twin that combines factory operator activity with machine data for the first time.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Experience with machine learning frameworks, NLP Libraries and Tools. Collaborate with other linguists and data operations teams in data collection, data curation, translation, localization and annotation efforts.
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We work closely with our partner teams across Cruise AI to lay out this foundation with a vision of building a Continuous Learning Machine, Data-Centric AI and objective model performance evaluation, to automate and accelerate our machine learning development, testing, and deployment and continuously ship models to improve the behaviors in our AVs, enabling our AVs to drive safely, reliably and smoothly in all different cities and scenarios.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our group is seeking an exceptional Machine Learning Engineer with a passion for building machine learning algorithms and systems that will transform the drug discovery process.
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5+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrieval. Our data scientists are working on exciting and interesting problems in areas like Advanced RAG and retrievers, Knowledge Graphs, LLM evaluations and metrics, feedback-based learning, parameter efficient fine-tuning, reinforcement learning, LLM alignment, bias mitigation, and multilingual support.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Within the Judicial Council, the Office of Court Research supports the Council’s mission of increasing access to justice with data, research, and analysis to support data driven decision-making in the Judicial Branch.
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Collaborate to identify, evaluate, and recommend novel and cutting-edge automation and assay strategies to drive our discovery programs, including machine learning and artificial intelligence.
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Extensive experience with machine learning frameworks and libraries (e.g., JAX, PyTorch, PyTorch Lightning, Tensorflow). Educational Background: B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred.
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San Francisco and San Jose, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
$321,500 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have:5+ years of Machine Learning modeling experience.
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machine learning data mining jobs Title: machine in South San Francisco, CA
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