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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Work with scientists and engineers across disciplines such as therapeutic molecules, stem cell engineering, chemical engineering, molecular biology, genetics, software, machine learning, and automation on the prioritization and disclosure of patent-worthy innovation.
$275,000 - $345,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$136,000 - $164,680 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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An outstanding scientist, machine learning engineer, and software engineer. The AI/ML Sequence Learning Team applies machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic and single cell experiments.
$191,250 - $258,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning Engineer - 129903. Demonstrated experience with python and machine learning libraries and familiarity with AWS. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors.
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Meta is seeking a Partner Engineer to join Meta’s Applied AI Partner Engineering team, a highly technical team that works with strategic partners, machine learning leaders across the industry and all major cloud service providers for building and launching new Generative AI product services and experience and taking Large Language Models (LLMs) from research to production.
$136,000 - $203,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The opportunity MainStreet is looking for a Machine Learning Engineer who will play a pivotal role in designing, developing, and implementing machine learning models and algorithms that power our groundbreaking product.
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Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas) Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Experience crafting machine learning models in cloud environments like AWS or GCP, with specific knowledge of Sagemaker being a plus.
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This is a virtual role for a Senior Machine Learning Engineer at Vera Biotechnologies. You will also contribute to the research and development of new machine learning techniques and technologies for various biotechnology projects such as computational drug discovery.
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Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning. Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends.
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TRM leverages big data and machine learning to prevent cryptocurrency fraud and financial crime. Manual QA Engineer. [Full Time] Software Engineer - Frontend at TRM Labs (United States) | BEAMSTART Jobs.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Swish is seeking a talented NLP Engineer to join our team and help us push the boundaries of what is possible with machine learning in the field of sports analytics. Design and implement machine learning models using Natural Language Processing (NLP) to analyze sentiment analysis around players to determine expected output.
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A minimum of 8+ years of related experience in data engineering, machine learning, AI, data science, and technical leadership. Establish technical standards, best practices, and methodologies for data science, machine learning, and artificial intelligence projects.
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machine learning jobs Title: devops engineer senior software qa in San Francisco, CA
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