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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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Senior Machine Learning Engineer page is loaded. Senior Machine Learning Engineer. As an ML Engineer, you will lead the development and deployment of innovative approaches to optimize existing and new machine learning systems, unlocking their full potential to drive maximum business value.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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To do this, you must interface directly with machine shops, sheet metal fabrication shops, internal staff members and management, as well as customers. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
$150Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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A talented Machine Learning Research Engineer is required to join an exciting and innovative healthtech organization based in Boston. In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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They are reducing the cost of building LLM. They are hiring a Founding Machine Learning engineer. Their model router comes out of NLP research and they raised $9M from the likes of General Catalyst (Stripe, Airbnb) and NEA (Databricks, Salesforce.
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Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Machine Learning, Electrical Engineering, Computer Engineering, Robotics Engineering or a directly related field plus five (5) years of experience working with robotics systems as a Robotics Engineer, Mobile Robotics Engineer, Mobile Robotics Intern, or closely related occupation.
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As a Machine Learning Engineer at Gecko, you will be working with Gecko’s unique dataset to develop and deploy machine learning models to solve critical business problems.
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As a Machine Learning Engineer II with CodaMetrix you will help with translating proof-of-concept ideas to product grade solutions. The Machine Learning Engineer II reports to the Director of Architecture.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Stay up-to-date with the latest trends and technologies in healthcare data analytics, including machine learning, natural language processing, and distributed computing. Experience with data analytics tools and technologies (e.g. Spark, Hadoop, machine learning libraries.
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Apply software engineering best practices to machine learning, including CI/CD and automation. This person will help develop and support infrastructure and tools to accelerate or enable machine learning research.
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Using advanced machine learning and state-of-the-art non-invasive robotics, the team aims to communicate with these majestic creatures. Reporting to the Harvard Microrobotics Lab faculty PI and collaborating closely with other SEAS staff and faculty, the Electrical Engineer will develop functional and technical requirements with an engineering and biology team and interpret these into system specifications and prototypes.
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As a frontend engineer you will work on our customer-facing software to enable our expanding array of industry revolutionizing application and machine-learning capabilities. Technical challenges on the leading edge of innovation where software and machine learning.
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Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Ph. D. degree in Computer Science, Machine Learning or a related field.
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machine learning engineer jobs in Boston, MA
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