Data Orientated Engineer at Varist
Varist is looking for enthusiastic and curious individuals to join our team. At Varist you will get an opportunity to work with and learn from talented people creating anti-malware solutions. We help each other out and focus on combined efforts and teamwork.
Having been innovators in computer security and anti-malware for over 3 decades, we develop security products that are being used worldwide by the biggest players in the computer/information industry and help protect over 2 billion individuals from harm.
The Varist offices are located in Skútuvogur. It is a friendly place to work at with flexible working hours.
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Drive machine learning innovation, leveraging techniques like reinforcement learning, clustering, deep learning, and anomaly detection to enhance our malware detection, classification, and analysis capabilities
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Contribute to innovative security solutions, designing, developing, and refining intelligent systems to protect against evolving malware threats
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Automate malware classification workflows, improving scalability, performance, and quality through state-of-the-art ML models and efficient system design
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Collaborate in system operations, overseeing the design, development, testing, deployment, and continuous improvement of critical tools and platforms
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Experience in software engineering, data engineering and analysis
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Bachelor's degree in computer science, Electrical Engineering, or a related field, or equivalent experience
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Proficiency in English
Technical Skills and Learning Opportunities
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Machine Learning and AI: Hands-on experience with feature engineering, model training, evaluation, and deployment tailored to large-scale malware datasets
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Big Data Expertise: Working with vast datasets using clustering, dimensionality reduction, and distributed computing techniques
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Data Visualization: Crafting and leveraging dashboards, visual tools, and frameworks to present insights clearly and effectively.
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Software Development in Linux: Advanced skills in Python, Go, and C for designing robust and secure systems
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Agile Methodologies: Experience with Agile practices and frameworks, including OKRs, to align with team goals
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Advanced Tools and Frameworks: Proficiency with Git, Yara, Docker, Kubernetes, Kafka, Elasticsearch, MySQL, Redis, and other critical infrastructure tools
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In-Depth Security Training: Access in-house sessions on topics like exploit analysis, vulnerability assessment, reverse engineering, and computer security
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Great lunch, refreshments, and snacks
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Bicycle storage and maintenance facilities
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Complimentary Hopp service for commuting
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Phone and internet expenses
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Annual allowance for the gym or physical activities
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Dedicated support for work-life balance
Enska
Íslenska
