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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Machine Learning Engineer sits on the Commercial Data Science (CDS)Team within our Strategic Analytics & Intelligence Organization (SAI) and exists to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data quicker and more effectively.
$165,200 - $306,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5 years of experience in Applied Machine Learning (e.g., TensorFlow, JAX, CUDA, etc. 5 years of experience in image processing, machine learning based image processing, computational photography.
$161,000 - $239,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Principal AI Scientist, you are expected to: Lead advanced machine learning and analytical method application to extract disease biology insights and support innovative clinical development programs and publications on multimodal translational data sets that include single cell and spatial ‘omics, RNAseq, ctDNA, digital pathology, and clinical data.
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A graduate degree or equivalent in Machine Learning, Mathematics, Statistics, Physics, Economics, or a related technical field is preferred. Experience applying parameter-efficient fine-tuning for LLM as well as familiarity with different training techniques SFT, DPO, PPO.Experience with optimizing LLMs for inferenceStrong understanding of data structures, algorithms, and OO designStrong knowledge of Python and hands-on experience with NLP-related /scientific computing packages (HuggingFace ecosystem (Transformers, TRL, PEFT), DeepSpeed, PyTorch, NumPy, SciPy.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review.
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Hands-on experience with wafer fabrication tools (etch, deposition, patterning) and metrology tools (AFM, SEM, thin film measurement, etc.) Hands-on wafer processing (deposition, etch, lithography, metrology.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
$200InternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We’re looking for an enthusiastic and experienced Engineering Manager to lead our AI-driven initiatives, focused on enhancing engineering velocity. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. We began using Covey Scout for Inbound on June 20, 2024.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
$350,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Responsibilities:Design and implement visual mapping and localization algorithmsCharacterize and quantify the performance of the vision systemResearch and experiment with new approaches to robust SLAMQualifications:- Hands on experience with visual odometry, mapping, and slam- Proficiency with probabilistic inference and 3d geometry- High proficiency in C.
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machine learning applied mathematics hands on jobs Company: Birlasoft in San Francisco, CA
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