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Active user or contributor to one or more infrastructure software such as Snowflake, CockroachDB, Oracle RDBMS, Google BigQuery, Spanner, Redshift, Aurora, Cosmos DB, MySQL, PostgreSQL, Hudi, Delta Lake, Iceberg, Ray, Spark, Flink, Kafka, Redis, ElasticSearch, etc.
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
$231,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Must have at least 2 years of technical and hands-on experience in 1 of the following: Microsoft Azure; Amazon Web Services (AWS); Google Cloud Services; or IBM cloud services. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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Google Suite: Proficiency in using Drive, Gmail, Calendar, Sheets, Slides, Forms, and Docs. Active Listening: Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Proficiency with tools including Salesforce, Gainsight, Drift, Google Suite, and Slack. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line.
$85,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with infrastructure provisioning tools helping to create and manage a collection of related resources like Terraform, CloudFormation (AWS), Azure Resource Manager (ARM), Google Cloud Deployment Manager, etc.
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Headquartered in San Francisco, Tempo's all-star team includes alumni from Google, YouTube, Amazon, Netflix, Airbnb, Pixar, and Orangetheory, backed by $300 Million in funding from Softbank, General Catalyst, Norwest Venture Partners, Founders Fund, Khosla Ventures, DCM, and Signal Fire.
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Create large scale data processing pipelines using tools like Ray, Apache Spark, Apache Flink, Google BigQuery etc. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and test-time compute to achieve this goal.
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Tackle challenging backend problems from end-to-end, such as local-first sync, collaborative rich text editing, data ingestion and processing, real-time recommendation, and LLM-augmented information indexing, retrieval, and discovery.
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Have worked 1+ years full-time as Technical Writer or Technical Content Creator. We've launched products like Augmented Reality in Google Search & Maps. As an early team member, you will work directly with the founders.
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Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon.
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Women-led and mission-driven company, founders are Forbes 30U30 with backgrounds from Stanford, Uber, Google, and McKinsey. [Full Time] Senior Product Designer at Searchlight (United States) | BEAMSTART Jobs.
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Experience building end-to-end scalable ML infrastructure with on-premise or cloud platforms including Google Cloud Platform (GCP), Amazon Web Services (AWS) or Azure. WFH equipment provided for full-time hybrid/remote employees.
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Experience with our technical stack: Vertex AI, Qwak, LLMs, Airflow, Python, PostgreSQL, Google Cloud, Django. We utilize data from myriad sources, including IoT, supply and demand-side financial & market transactions, economic time series, and user behavior streams.
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