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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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Rope access experience or an interest in learning rope access techniques (SPRAT, IRATA). The preferred candidate will have a structural engineering background, knowledge of MicroStation, AutoCAD, and experience with structural engineering design drawings, specifications, and cost estimates.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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The multi-disciplinary team consists of talented technical staff with expertise in electromagnetics, optics, signal processing (communication, GPS), RF design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.
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BA in Molecular Biology or Protein Engineering and 4+ years industry experience in biologics discovery and protein science OR MSc and 2+ years experience. Excellent molecular biology, DNA cloning and protein engineering skills.
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Recruit, develop, and retain top engineering talent, shaping an organizational structure that supports career growth, learning, and performance excellence. OpenGov seeks an experienced Sr. Manager, Engineering to lead our innovative team.
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PhD in Neuroscience/Computational Neuroscience/Cognitive Science/Psychology, Human Factors Engineering, Human-Computer Interaction, or a related field. Familiarity with machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras.
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We encourage individuals with high school teaching experience, ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning, primarily in high school AP® and elective courses.
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With support, evaluates new technologies aimed at expanding Antibody Discovery and Protein Engineering capabilities. Design and execute protein/antibody engineering strategies such as error prone PCR, saturated mutagenesis, DNA shuffling, etc.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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Qualifications : 5+ years of experience in a DevOps, Site Reliability Engineering (SRE), or Infrastructure role with a strong focus on Azure cloud services. Job Overview : We are seeking a Senior Azure DevOps Engineer to join our engineering team.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval. 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features.
$222,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
learning engineering jobs Company: Red Hat Inc in Cambridge, MA
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