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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 toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Director of Public Sector Research – Machine Learning Director of Public Sector Research – Machine Learning About the Company Clarifai is a leading, full-lifecycle deep-learning AI platform for computer vision, natural language processing, LLM’s and audio recognition.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. You will closely partner with various functional groups including IT, Internal Audit, Strategic Sourcing and other stakeholders to draft the strategy and establish the SAM program with objectives including managing end-to-end software lifecycle and reducing the Risk and Spend.
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Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission to serve the unbanked as well as disrupt traditional financial institutions. 6+ years of experience in machine learning, data analysis, or a related field.
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The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.
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The Personalization Machine Learning (PML) team strives to create a personalized experience on Cash App and Afterpay by tailoring recommendations and search ranking results for our customers.
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Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) - Priceless Platform. Job Title: Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) - Priceless Platform.
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Named one of the Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine for the third consecutive year, our team includes founders and leaders from Google, Microsoft, Stripe, Shazam, and Facebook.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which match well with the global nature of our business.
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Working closely with cross-functional teams of data scientists, software engineers, and DevOps specialists, you'll ensure the reliability, scalability, and efficiency of our machine learning systems.
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We're hiring our first Machine Learning Engineer. Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models.
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Lead Machine Learning Engineer. Uses software development best practices with a focus on testing, reliability and maintainability. Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery.
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machine learning software jobs Company: Facebook in San Francisco, CA
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