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Machine Learning and Deep Learning (Some or all): Deep neural networks(CNN, RNN, LSTM), Supervised methods such as Tree based models (random forest, xgboost, Light GBM), K-NN, SVM as well as Unsupervised methods such as Clustering (Hierarchical, K-mean, K-medoids), Dimensionality reduction (PCA.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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A Glimpse into the Daily Routine of a Machine Learning Engineer. Self-motivated and proactive, with a passion for learning and staying updated with the latest trends and advancements in the field of data engineering.
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Successful candidates will work closely with the Computational Chemistry, Machine Learning and Application Engineering teams to tap into the wealth of evolutionary, structural and -omics data to unlock the full potential of unified machine learning representations and large-scale geometric deep learning generative models.
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Demonstrated track record of developing and implementing machine learning models in real-world applications, preferably in the context of quantitative trading or algorithmic trading. We are a leading multi-strategy hedge fund at the forefront of applying cutting-edge machine learning techniques to quantitative trading strategies.
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Employ advanced AI and machine learning models, including deep learning and predictive analytics, to identify novel materials and predict their performance within battery systems.
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Collaborate closely with the machine learning team to structure data effectively for chatbot/LLM enhancements, ensuring alignment with overall growth strategies. Jolt is on the lookout for a Data Lead to oversee its Amazon Redshift environment, which houses all of its data sources, its LLM and machine learning algorithm, and both the internal team and external client data visualization.
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This role involves forging relationships with people across R&D to synthesize an overall physical picture of machine performance and plasma dynamics. This person will play a critical role in developing our physical understanding of plasma dynamics in the machine.
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We are seeking individuals passionate in areas such as generative modeling, deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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Familiarity with and/or interest in learning Florida wetland types and systems (freshwater and tidal), and state and federal regulatory permitting processes including working with the US Army Corps of Engineers, US Fish and Wildlife Service, and Florida Fish and Wildlife Commission.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Seeking a CNC Programmer responsible for reading and interpreting technical blueprints, inputting the design specifications, adjusting the machine cutting paths, and performing quality checks on the final product.
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GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
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machine learning jobs Title: devops engineer Company: Applied Materials in New York, NY
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