\nAbout the role:\n\nThe Samsara AI team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Data Scientist you will be a science leader and key contributor in building core models and predictive techniques for use in building and understanding products. You will work closely with other scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations.\n\nThis role can be office-based or fully remote in the US and Canada.\nIn this role, you will: \n\n\nBuild and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems \n\nWork with petabyte-scale data from Samsara camera and sensor devices to develop new models\n\nLead org-wide initiatives on science, testing, and data-driven decision making\n\nResearch, adapt, and apply cutting edge techniques in CV and deep learning\n\nOptimize models for inference on the backend and/or on edge devices\n\nPartner with our hardware teams to design devices for optimal performance and cost\n\nStay connected to industry and academic research and adopt novel technology that suits Samsaraโs needs.\n\nChampion, role model, and embed Samsaraโs cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices\n\n\n\n\nMinimum requirements for the role:\n\n\nBS or MS in Computer Science or other quantitative field (e.g., Applied Math, Statistics)\n\n8+ years experience as a Data Scientist, Machine Learning Engineer, or similar role\n\nProficiency in data modeling as well as SQL, Python, R, or a similar scripting language\n\nAbility to distill informal or ambiguous customer and business requirements into crisp problem definitions\n\nProven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge\n\nExperience coaching and mentoring more junior scientists\n\n\n\n\nAn ideal candidate also has:\n\n\nPhD in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)\n\nStrong functional knowledge of common tools like Jupyter Notebooks, AWS (e.g., EMR, Redshift, S3, Sagemaker)\n\nRecord of successful mentoring and development of junior team members\n\nExperience working with large datasets using distributed computing (e.g., Spark, Hive)\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Analyst, JavaScript, Java, Cloud, Microsoft, Engineer, Apache, Backend, Travel, Marketing, Excel, Sales, Design, Testing, Senior, Junior, Internship, Digital Nomad and Mobile jobs that are similar:\n\n
$65,000 — $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\nSan Francisco, California, United States
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