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Senior Machine Learning Engineer
Senior Machine Learning Engineer
Netdata Inc.UTC -3 to UTC +5
|UTC -3 to UTC +5||9mo|
Netdata is looking for a Senior Machine Learning Engineer with extensive experience in building ML pipelines and highly-available production-grade services powered by sophisticated deep learning, statistical or other machine learning methodologies and models. Help us build the most advanced anomaly detection, forecasting, incident prevention and alerting system in the world!\n\nAs a Senior Machine Learning Engineer at Netdata, you will be responsible for building anomaly detection, forecasting and incident prevention, classification and identification systems to power both our open source netdata package and our commercial cloud offering. To do this you will need to explore and experiment with both unsupervised anomaly detection on streaming data, as well as supervised anomaly detection using ensembles of deep-learning and statistical approaches.\n\n**Why join Netdata**\n\n* We are a team of industry veterans and senior engineers that prioritize performance and ease of use over anything else.\n* We embrace remote work and great work-life balance.\n* We are solving hard problems that affect thousands of organisations worldwide.\n* We are deeply committed to Open Source and love our community.\n* We deeply care about system performance.\n\n**When you join Netdata, you can expect**\n\n* A competitive salary.\n* A generous stock plan.\n* To join a venture-backed startup working with some of the most sophisticated investors of Silicon Valley.\n* To be part of our world-class team and interact with an amazing community.\n* To see first-hand how to grow and succeed in an engineering-first, open source-based company.\n* To find a culture that rewards doers.\n\n*Netdata is an Equal Opportunity Employer. We are committed to providing an inclusive work environment free of discrimination and harassment for everyone, regardless of race, color, religion, national or ethnic origin, sex, age, sexual orientation, gender identity, disability, sexual orientation, marital status, military service or other non-merit factor.*\n\n# Responsibilities\n * Build ML/statistical models applicable to large-scale monitoring and telemetry applications, including but not limited to detecting anomalies based on streaming data, in batch, whether that data is annotated (supervised) or raw (unsupervised)\n* Build the accompanying algorithms and pipelines capable of training, validating, testing and serving the models you designed\n* Bulid highly-available services to serve the models on production\n* Work with our backend engineers to integrate your models throughout Netdata cloud ecosystem\n* Work with our open source community to integrate your models in the open source Netdata agent\n* Stay up-to-date on emerging technologies. \n\n# Requirements\n**Required experience**\n\n* A Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics or equivalent. (Ph.D or higher degrees are highly preferred)\n* 3+ years of experience with Deep Learning and/or Anomaly Detection in production systems. We expect you to be a competent engineer and comfortable with understanding and implementing high-availability and high-performance systems.\n* Familiarity with Tensorflow and/or PyTorch.\n* Familiarity with Python for the creation of ML models and pipelines.\n* Self motivated, conscientious, with a problem-solving, hands-on mindset.\n* Perfectionist where it matters, but also pragmatic, with effective time management skills.\n* Team player, eager to help.\n* Excellent command of spoken and written English\n\n**Preferred experience**\n\n* Familiarity with distributed systems, modern software architectures and environments, including Orchestrated Containers (e.g. Kubernetes), Microservices etc.\n* Familiarity with Systems Monitoring concepts, tooling and frameworks\n* Experience in building Anomaly Detection systems\n* Open source contributor\n* Agile Development Methodology \n\n#Salary\n$120,000\nyagJzhkdapAsCMnUw7CpJAMi\n\n#Location\n- UTC -3 to UTC +5
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