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We are looking for a passionate senior machine learning engineer to join the team to partner with us to extend our existing set of traditional ML technologies and infrastructure and to help us blaze a path in the generative AI space.
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We are growing a team of people from multiple disciplines who love solving complex problems with data and are excited by the prospect of creating the brains behind Iris. As a Machine Learning Engineer, you will be responsible for building the infrastructure and implementing the algorithms that make Iris smart.
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Fluency in Python, machine learning frameworks (Pytorch, Tensorflow, etc), data science tools and cloud services preferred. MS or PhD in Artificial Intelligence, Machine Learning, Statistics, or a related field or equivalent on-the-job experience.
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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We are hiring a Machine Learning Engineer III in Bellevue, WA, Boston, MA, or Plantation, FL. In this position, you will work on all stages of model development, from idea, analysis, architecture, pipeline, tuning, experimentation, and feedback loop.
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Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems. Adapt standard machine learning methods to best exploit modern parallel environments (such as distributed clusters, multicore SMP, and GPU.
$146,994 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Responsibilities As a Machine Learning Engineer, your key responsibilities would include: Data Exploration and Preprocessing: Work with large and complex healthcare datasets, cleaning and preprocessing the data to ensure data quality for model training and evaluation.
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In particular, they're looking for a Machine Learning Engineer to join their R&D team. CUDA programming skills Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco/Silicon Valley, New York, and Austin.
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Design and build Suno’s machine learning models and infrastructure. Experience building and optimizing latency and throughput of machine learning systems and GPU workloads. Build and deploy systems comprising multiple low-latency machine learning models.
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The Senior Machine Learning Engineer will help build foundational models at Klaviyo that extract insights from the massive streams of data that Klaviyo ingests continuously. You have experience in machine learning, and have already trained and developed complex models in the recommender, NLP, or related areas working.
$156,800 - $235,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AWS Field Experiences (AFX) Generative AI team is looking for a Machine Learning Engineer with experience in the design and development of scalable AI/ML, deep learning, and generative AI models, deep passion for building end-to-end products, strong ability to communicate scientific ideas and results, and a proven track record of executing complex projects while delivering high business impact.
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We are looking for a Senior Machine Learning Engineer to join the Data Science team with the Analytics and AI division. The data science team is bringing machine learning to bear against the hardest problems in healthcare.
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As a Principal Machine Learning Engineer on our GenAI applications team, you will help lead development of innovative generative AI products that address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large.
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Valued $100M+) is looking to hire their first Applied Machine Learning Engineer. LLM Fine-Tuning and Transfer Learning : Proven experience in fine-tuning LLMs for specific tasks or industries, including the use of transfer learning techniques to adapt pre-trained models to new domains or requirements.
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Barrington James is currently seeking a Senior Machine Learning Engineer for one of its clients dynamic teams based in Boston. Conceptualize, design, and forge components within the data pipeline to empower a variety of machine learning models in a live environment.
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Title: machine learning engineer in Boston, Troy, New York
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