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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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Lead Machine Learning Engineer. Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas.
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4-8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit-Learn,or ML Lib for production or commercial products.
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You will sell and support our Cardiopulmonary portfolio of industry-leading, life-saving devices such as the Essenz Perfusion System Heart Lung bypass machine, Xtra Autotransfusion System, Inspire Oxygenators, and various other disposable products.
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1+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. The ideal candidate should have a strong background in machine learning, deep learning, LLMs, and data analysis, as well as experience in developing and deploying AI models on hardware/wearables.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. - Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.
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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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FinTech, CTO's, CEO's, VC, Artificial Intelligence, Machine Learning, NLP, DevOps, Blockchain, Staffing, Recruitment, Consulting, CIO's, Java, Golang, Ruby, Scala, Hadoop, Docker, Kubernetes, AWS, Cloud, CFO's, financial technology, and nodejs.
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Email DBA Web Sr. Data Scientist (Data Scientist, Senior Information Scientist, Time Series, modeling, machine learning, deep learning, statistics, data visualization packages) - 100 % Remote Data Visualization Packages, deep learning, Machine Learning, Modeling, Statistics, Time Series Location: Illinois Job Function: Data Scientist Date Of Job Posting: 08-12-2021.
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A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.
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We are seeking a Senior/Principal Scientist - Computational Chemist to drive drug design with state-of-the-art machine learning and physics based methods in a fast-based and early-stage, future-looking company that is championing an in silico-driven drug discovery process.
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machine job in South San Francisco, CA
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