MixMode is hiring a Remote Machine Learning Engineer
\nJob Title: Sr. Machine Learning Engineer\nLocation: Santa Barbara, CA or Remote within U.S.A.\n\nJob Summary:\n\nMixMode is at the vanguard of a new class of patented Artificial Intelligence based Cyber Security technology. As a Senior Machine Learning Engineer on the AI Team, you will be responsible for designing, building, and maintaining a big-data streaming application that applies our patented AI algorithm to petabyte-scale data. In this role you will work with a team of experienced AI Engineers, Data Engineers, and ML-Ops engineers to design and build novel ML and engineering solutions to big data analytics problems.\n\nResponsibilities:\n\n\n* Architect, design, and implement Machine Learning applications that run on streams of petabyte-scale data.\n\n* Work with industry leading researchers to invent and build novel algorithms for timeseries analysis\n\n* Architect and build service-oriented solutions for machine learning applications\n\n* Keep current on the latest ML research relevant to our business domain\n\n* Conduct exploratory data analysis and interpret results\n\n\n\n\nQualifications:\n\n\n* 5+ years of experience with Python\n\n\n\n* Professional experience with a JVM language: Java, Scala, or Kotlin (preferred)\n\n\n\n* 5+ years of experience using Machine Learning and data analysis libraries like pytorch, scikit-learn, pandas, etc.\n\n* 3+ years of experience building scalable applications with Kubernetes\n\n* 3+ years of experience with big data tools (Spark, Hadoop, Dask, RedShift, etc.)\n\n\n\n* Experience using streaming tools like Flink, Spark Streaming, or similar (preferred)\n\n\n\n* 5+ years of experience with relational database tools like Postgres, MSSQL, etc.\n\n\n\n\nPursuant to California law, we must display the pay range for this job. Since we are willing to hire within a broad spectrum of qualifications, we also reflect a broad pay range. The base salary range that we are targeting for this position is $160,000 - $210,000 per year, though we can adjust based on individual qualifications. Individual salary is determined by qualifications, role, level, and location. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design and Engineer jobs that are similar:\n\n
$75,000 — $115,000/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\nSanta Barbara, California, United States
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