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Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency.
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As a Machine Learning Engineer II, you will be a key contributor to the DS Platform team’s efforts to build and improve the tools, systems, and software services that Data Scientists depend on to create cutting edge models that power Klaviyo’s most advanced features.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience learning software, frameworks and APIs.
$177,000 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with any of the following Frameworks Spring, Django, R Shiny, Tensorflow, MXNetUnderstanding or Application of Machine Learning and / or Deep LearningExperience in a scientific environment.
$96,600 - $151,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Application domain experience in scientific computing, signal processing, or machine learning is a plus. We're seeking a motivated Software Engineer with an interest in synthetic biology to join our interdisciplinary team and contribute to the development of CATALOG's DNbased data storage and computation platform.
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Experience with any of the following: AWS Cloud governance Clinical Trials Machine Learning Base Salary range - DOE $130,000 - $168,000 Additional Benefits/Perks: Unlimited PTO Board approved stock options Board approved annual bonus Direct access to senior leadership Healthcare Vision/Dental Life Insurance Professional growth training 401K with Safeharbor employer contribution Remote work Flexible working hours Amazing culture and team to work with Please mention the word.
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. Appetite for learning new skills, chipping in to process-improvement initiatives in an effort to maximize velocity for the product team and is curious about constant learning.
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Serves as the experiential learning engine for students majoring in computer science, data science, computer engineering and related disciplines, providing opportunities for students to work on real-world projects learning focused on the application of data science, machine learning, and software engineering skills through a series of practicum courses and labs organized around thematic priority areas such as social justice, sustainability, and civic tech.
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Confluent is seeking a bright new college graduate Software Engineer with an academic background in distributed systems and machine learning. You will work on designing and developing a cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) foundation seamlessly integrated with Confluent Cloud data processing infrastructure, including Flink SQL and Table API. In this role, you will work on ML and AI capabilities that empower our customers to unlock the full potential of their data.
$117,800 - $135,450 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Designed and custom-built by Amazonians, our Dash Cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Note: This job is located in Hudson, MA AWS Applications and Higher Level Abstractions (Apps) provides horizontal and industry vertical applications for business users with the same on-demand scalability, reliability, pay-as-you-go pricing, and machine learning expertise that drive AWS services.
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In addition, they will analyze data and develop methods using machine learning for feature extraction and classification. The Principal Image Processing Engineer will join the team with prior experience that will contribute to a multidisciplinary team including expertise in systems biology, software and data science.
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We are inviting professionals in high-growth industries who are thinking about their next move or looking for a new opportunity to join our expanding talent pool.
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As a Machine Learning Engineer at Reveal Health Tech, you will be responsible for developing, implementing, and deploying machine learning models and algorithms to help us tackle complex healthcare and lifesciences challenges.
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Understanding of machine learning concepts and techniques, with a desire to further develop ML skills. Bonus if you have experience with Google Cloud Platform, TensorFlow, PyTorch, GCP Vertex AI, Hugging Face, LangChain, AWS Bedrock, PostgreSQL, MongoDB, MySQL, or BigQuery.
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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machine learning engineer jobs in Boston, Papillion, Nebraska
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