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Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Site Reliability Engineer, Autopilot & Dojo Infrastructure What to Expect Tesla's Supercomputing SRE team works directly with the high-performance computing and machine learning infrastructure on which our ML algorithms run; this includes virtual simulations, Autopilot hardware, silicon design, and Dojo. With the rapidly-growing need for more data and optimized compute resources, cluster builds are getting larger and increasingly complex.
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This is an opportunity to lead the Enterprise Tech Data Management and Privacy while heavily influencing the Enterprise Machine Learning Platform and Enterprise Real-Time Event Processing & Analytics Platform to support the end-to-end development and execution of Amex's data management initiative.
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Site Reliability Engineering (SRE) of the AML (Applied Machine Learning) team combines system engineering and the art of machine learning to develop and run a massively distributed AI/ML recommendation system for the United States and all around the world.
$112,065 - $259,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Provide thought leadership, subject matter expertise and serve as trusted advisor in machine learning, deep learning, and other state of the art AI techniques. Breadth and depth knowledge of statistical learning, machine learning, and deep learning.
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Architecting robust data pipelines using Apache Airflow and Kubernetes, enabling the integration of human-in-the-loop machine learning models into our production environment. Collaborating closely with backend and machine learning engineers to implement new APIs and services, enhancing the platform's functionality.
$100,000 - $130,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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For more details, please visit Come join Kohler Ventures as Sr. Android Engineer, as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
$101,100 - $155,800 a yearExpandUpdated Today - UpvoteDownvoteShare Job
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The AI Group is the central engineering group responsible for driving Machine Learning (ML) adoption at Bloomberg, with over 200 researchers and engineers working together to provide clients with the best-in-class news, research, market data, and analytics using innovative machine learning technology.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Come join Kohler Ventures as Sr. iOS Engineer, as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
$98,000 - $211,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The candidate should also have experience in data engineering, machine learning, and data pipelines. Experience in data engineering, machine learning, and data pipelines. We are seeking a highly motivated and skilled Modern Platform Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops or other Data Engineering workloads.
$170,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) As a Blockchain Lead Software Engineer at JPMorgan Chase within the Corporate and Investment Bank, Markets Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Experience in one of the machine learning platform; GCP, AWS, Azure, Databricks and Snowflake. Experience in one of the machine learning platform; GCP, AWS, Azure, Databricks and Snowflake.
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Machine Learning Engineer. Proficiency with the following technical capabilities: Apache Spark, Databricks, Azure Data Factory, Azure Machine Learning Studio, SQL, Docker and/or Kubernetes.
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As a Software Engineer II at JPMorgan Chase, within Corporate Sector, AI2 Team you will partner closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow.
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machine learning engineer jobs in New York, NY
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