Arize AI is hiring a Remote Senior Backend Engineer
The Opportunity\n\nAI is rapidly changing the world. From processing job applications and credit decisions, to making content recommendations and helping researchers analyze genetic markers at scale -- many aspects of our daily lives are touched by machine learned systems in some way. \n\nArize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build world class software that helps make AI work better. \nThe Team\n\nOur Backend Engineering team builds all of the highly scalable distributed services that power Arizeโs ML observability platform. The expectation and scope of every individual on this team is high, whether itโs finding the most efficient way to compute model evaluation metrics across billions of data points, or designing the next generation of our OLAP database architecture, or researching and implementing the latest dimensionality reduction techniques โ you will never lack a technical challenge.\n\nBeing the team that is part of driving core innovation at Arize, you will have a material impact on the companyโs ultimate success in this highly technical space. Youโll not only be able to contribute to projects, but also inform the team culture, structure, and practices as we scale.\n\nWhat Youโll Do\n\n\nWrite maintainable, scalable performant Go.\n\nBuild high volume and highly available analytics systems.\n\nDesign and build APIs specific to our customersโ ML workflows.\n\nPrototype, optimize, and maintain scalable backend services that power Arize core platform.\n\nExtend, and contribute back to, open source OLAP databases and distributed message queue frameworks.\n\nResearch and implement cutting edge visualization & dimensionality reduction algorithms in a distributed environment.\n\nProvide guidance and mentorship to other engineers on the team while also leading projects end-to-end.\n\nPartner with our design, product, and fullstack teams in order to enhance and expand our product roadmap.\n\n\n\n\nWhat Weโre Looking For\n\n\n5+ years of experience working with high performant backend systems\n\nStrong experience writing Go, Python, Java, or similar server programming languages\n\nStrong experience writing concurrent and distributed programs.\n\nKnowledge working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc.\n\n* Experience building and operating highly complex SaaS platforms / systems.\n\n* Proven experience leading and/or significantly contributing to end-to-end large scale projects.\n\n\n\n\nBonus Points, But Not Required\n\n\nPrior experience working in a start up enviornment\n\nWorking knowledge of Machine Learning and/or Data Science\n\n\n\n\nThe estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to SaaS, Senior, Engineer and Backend jobs that are similar:\n\n
$75,000 — $120,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nBerkeley, California, United States
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