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The MosaicAI Runtime team develops and maintains the LLM Foundry, Composer, and StreamingDatasets open source projects, which power deep learning training for Databricks customers and MosaicAI Research.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience working with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks (Airflow) and analytic environments (Databricks, Sagemaker, Jupyter) Machina Labs is funded and backed by major investors (NVIDIA, Innovation Endeavors and Lockheed Martin) in the field of AI and Deep Tech. Job Description As a Machine Learning Engineer and an early member of our small team, you will own a significant portion of our product and the company.
$156,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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Js, Scala, Spark, PySpark, Hadoop, Kafka, Rust, NoSQL, or Kubernetes Coursework or Knowledge of Gen AI, LLM, Machine Learning Knowledge of Distributed Systems Design, Scalability, High Availability Resiliency Knowledge in Mobile Device delivery.
$35 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Machine Learning Engineer (Python, Spark/Dask, MLOPS) New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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This position will work alongside advanced security researchers, data engineers, and malware reverse engineers, and data scientists to tackle evolving threats accelerated by technologies like our Hadoop ecosystem (HBase, HDFS, Spark, Kafka, AirFlow), Elasticsearch and Redis clusters, Docker using Docker Swarm, malware environment, and a network of honeypots.
$193,617 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development.
$250,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Pref Proficient in using various programming languages and tools for data analysis and machine learning, such as AWS Sagemaker, Comprehend Medical, Python, SQL, TensorFlow, PyTorch, or Spark.
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Clearance: A current SECRET security clearance is required Benefits: Professional Development: Opportunities for continuous learning and growth through participation in NATO’s training programs and international conferences on data science and AI. International Exposure: Work in a dynamic, multinational environment where your contributions directly impact NATO’s strategic objectives.
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6+ years of proven experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role. RAPIDS, the open-source suite of accelerated data science libraries and primitives, brings accelerated computing to the wider analytics world by combining the performance of NVIDIA GPUs with the ease of use of Python, Apache Spark, and modern C.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, and Kafka, and cloud-based data platforms such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. Proven track record of leveraging advanced analytics techniques (such as machine learning, predictive modeling, and natural language processing) to derive actionable insights and drive business value.
$263,408 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Utilizes methods particularly in the areas of modeling, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and experience designing/implementing solutions.
$36.8 - $56.13 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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11 West 19th Street (22008), United States of America, New York, New YorkLead Machine Learning Engineer ( Python, Spark, MLOPS, AWS) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store.
$230,000Full-timeExpandApply NowActive JobUpdated Today
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