Karkidi
Software Engineer - Data Systems for Machine Learning
Karkidi, San Jose, California, United States, 95199
Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta (formerly Facebook), Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required.As a software engineer, you will work coactively with the best in ML and data systems, building the foundation for understanding unstructured image and video data.What you’ll do:
Build production-grade data systems that you’ll be proud ofTackle challenging problems at the intersection of machine learning and systemsCollaborate with a world-class team of engineers, researchers, and scientistsShape engineering best practices and company culture as we growWhat we look for:
BS (or higher) in Computer Science or related fields, or equivalent experience3+ years of production-level experience in one of: Python, Java, C++, or similar languageExperience developing data intensive systems that power critical business processesExperience working on enterprise software or cloud native platformsExperience with security and systems that handle sensitive dataEqually comfortable working on a white-board, pair programming, or presenting to small groupsGood knowledge of SQLWhat you can expect from us:
The estimated annual base salary for this position is between $132,367-$152,500.*At Coactive, base salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to:Market leading equity grants100% medical, dental, & vision coverage for youMedical, dental, & vision partially covered for your dependentsUnlimited PTOSocial events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.Further, you can expect a supportive work environment from us. We build products, but we develop people.*Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.
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Build production-grade data systems that you’ll be proud ofTackle challenging problems at the intersection of machine learning and systemsCollaborate with a world-class team of engineers, researchers, and scientistsShape engineering best practices and company culture as we growWhat we look for:
BS (or higher) in Computer Science or related fields, or equivalent experience3+ years of production-level experience in one of: Python, Java, C++, or similar languageExperience developing data intensive systems that power critical business processesExperience working on enterprise software or cloud native platformsExperience with security and systems that handle sensitive dataEqually comfortable working on a white-board, pair programming, or presenting to small groupsGood knowledge of SQLWhat you can expect from us:
The estimated annual base salary for this position is between $132,367-$152,500.*At Coactive, base salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to:Market leading equity grants100% medical, dental, & vision coverage for youMedical, dental, & vision partially covered for your dependentsUnlimited PTOSocial events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.Further, you can expect a supportive work environment from us. We build products, but we develop people.*Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.
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