Machine Learning Security Research Fellow
Trail of BitsFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position with a remote-friendly and flexible work culture.
The role requires preferred 3+ years of experience as a Threat Researcher or Engineer in a Data Science organization, fundamental understanding of Machine Learning files and frameworks, above medium knowledge of programming and scripting languages particularly Python and Rust, and sound understanding of current and emerging threats.
CrowdStrike offers competitive salary, stock options, private healthcare insurance, life insurance, training budget, flexible time off, and team hangouts.
CrowdStrike cultivates a culture that gives every employee flexibility and autonomy to own their careers, with a focus on mission-driven work, innovation, passion, and commitment to customers and community. They emphasize remote-friendly flexibility, team hangouts, and working with the latest technologies.
Strong candidates have 3+ years as a Threat Researcher or Engineer in Data Science, solid Python or Rust programming skills, ML framework knowledge, and experience in vulnerability research or cloud/container technologies.
Cloud-native endpoint security solutions provider
CrowdStrike specializes in cybersecurity, focusing on protecting businesses from cyber threats through cloud-native endpoint security solutions. Their main product, the Falcon platform, includes services like Falcon Pro, which replaces traditional antivirus with next-generation antivirus that integrates threat intelligence, Falcon Insight for endpoint detection and response, and Falcon Device Control to manage connected devices. Unlike many competitors, CrowdStrike's services are subscription-based, allowing clients to choose different levels of protection based on their needs. The company serves a diverse clientele, including many Fortune 100 companies, and is recognized as a leader in the cybersecurity field, known for its effectiveness in threat detection and response.