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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.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Within Bloomberg Law (BLAW), the BLAW Machine Learning Team is the central machine learning engineering team with 10 machine learning engineers working with groundbreaking technologies to build data-driven customer-facing products using Natural language processing (NLP), Information extraction (IE) and Machine Learning (ML) techniques such as named entity disambiguation, text classification, clustering and topical modeling, text summarization and personalized recommendations.
$165,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Machine Learning | AI | Python | SQL | Deep Learning | Data Modeling | RAG | NLP | LLM | Start Up | Recommendation Systems. As a Machine Learning Engineer ( Data Extraction ), you can expect to earn up to $210,000 (depending on experience), highly competitive benefits and equity.
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Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
$156,400 - $215,050 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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The focus of the role is responsible for all aspects of verification on next generation graphics processors, including testbenches, test libraries, software modeling, Verilog modeling, test development, regressions, and infrastructure development.
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Proficiency in programming languages such as Python and Julia, and experience with developing large scale models using machine learning packages (e.g., PyTorch, TensorFlow, Jax). Proven track record of research and publications in machine learning, particularly in the areas of diffusion models, generative models, NLP, or related topics.
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Today our team consists of developers, scientists, engineers, researchers, and analysts that have served federal, state, and local government clients on high-consequence problems in analytics, biometrics, AI/machine learning, and forensic science for over 20 years.
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Cybersecurity, robotics, machine learning, bioinformatics, large-scale networking, game design, human-machine interface, green energy, advanced semiconductor, industrial automation, electrical engineering, and mechanical engineering.
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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
$140,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language.
$153,800 - $216,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with data engineering and/or machine learning on Azure cloud. Technical proficiency in OT infrastructure, SCADA devices, and historian systems (OsiSoft/AVEVA PI.
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Individuals are expected to be experts in research areas relatable to Computer Vision, Deep Learning, Machine Learning, Image Processing, Image Understanding, Computer Graphics, AR/VR, or Computational Photography.
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infrastructure machine learning jobs Company: Nvidia in Troy, New York
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How to Fire an Employee
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