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Relevant Keywords: Large Language Models, Machine Learning, Python, Deep Learning, Software Development, Kubernetes, Scalable Systems, AI, Data Quality, Data Acquisition, Web Crawling, Data Parsing, Data Ingestion, Large-scale Data Management, Spark, DataFlow.
$180,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Our team is building and deploying edge software and cloud services for real-time customer facing products as well as internal big data tools.
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Software, Biotechnology, Technology, Artificial Intelligence, Pharmaceuticals, Medical Devices, Healthcare Services, Healthcare, Data and Analytics, Health IT. 3+ years experience in building, deploying, and monitoring enterprise-grade multi-tenant SaaS applications on Cloud infrastructure as a DevOps Engineer or in a similar role with SRE responsibilities.
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Proven experience building models from a blank page and owning the entire deep learning stack including data curation, characterization and cleaning, architecture design and model building, distributed large-scale training, and model optimization for inference.
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One of our big differentiators is treating content as data so that it can be stored in a single source of truth but seamlessly adapted and personalized for any channel without extra effort.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lead the preparation and presentation of safety data at safety governance meetings (Safety Management Team and Company Safety Committee) and for Safety Monitoring Committee (SMC), Data Monitoring Committee (DMC)/Data and Safety Monitoring Board (DSMB.
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He worked on Apple Search (Spotlight) and Apple Pay, maintaining big data pipelines and deploying cutting-edge AI models. Senior Robotics Software Engineer. Fullstack Software Engineer (In-person, Toronto, Canada.
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You have built data pipelines in dbt, Airflow, or a similar tool. You’ll also work closely with our broader Data Engineering and Data Science teams on Sales data pipelines and analyses.
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One formality, we do require at least 1.5 years of experience as a full-time software engineer for this role. Our engineering culture is motivated by Benji ’s (my co-founder and CEO) and my belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours.
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Embrace the pivotal role of a Staff Software Engineer within our Data Platforms team, where your expertise will become the backbone of our ground breaking analytics and data processing capabilities.
$121,500 - $224,880 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our care will be data driven with the inclusion of wearables (oura ring, continuous glucose monitors, etc), use advanced functional medicine labs (stool microbiome testing, advanced lipid panels, epigenetic methylation biological age testing, etc), and advanced biometric testing (body composition analysis, etc.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We are looking for a Senior Full Stack Engineer who is passionate about solving complex, meaningful problems to join our new Chatbot team.
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Familiarity with Big Data technology like Apache Hadoop, NoSQL, Presto, BigQuery, BigTable, etc. As a Software Engineering Manager, you will identify, hire and build a world-class team of Software Engineers, Researchers, and Data Analysts to define, drive and execute on the creation of the next generation of Lilt's data platform.
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Lead Machine Learning Engineer (NLP) (Remote India) Quant Data Engineer. Critical Thinking: Expertise in data-driven analysis of the market and thebusiness. Identifies key business indicators, tests pilots/theories, andidentifies hidden opportunities through data.
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The Sr. Systems Engineer leads activities that drive discovery, design, and delivery of Active Directory Services and Privileged Access Management platforms in a hybrid environment. Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.
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machine learning software engineer data processing big jobs Company: Lyft in San Francisco, CA
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