Sr. Machine Learning Researcher-Threat Detection and Response
Remote - United States
Applications have closed
Stellar Cyber
Next Gen SIEM Security - Stellar Cyber delivers NG-SecOps, Next Gen SIEM, Network Detection and Response, EDR platform along with SIEM security tools.About Stellar Cyber:
Stellar Cyber – Innovators of Open XDR (the only Everything Detection and Response platform)
Stellar Cyber is the only security operations platform providing high-speed, high-fidelity threat detection and automated response across the entire attack surface. Stellar Cyber’s industry-leading security software improves security operations productivity by empowering security analysts to kill threats in minutes instead of days or weeks. Stellar Cyber’s platform helps eliminate the tool fatigue and data overload often cited by security analysts while slashing operational costs.
Founded in 2015 by industry pioneers from leading companies including Aerohive, Netscreen, Fortinet, Vectra, Juniper, Cisco, VMware, Gigamon, and A10 Networks; Stellar Cyber is based in Silicon Valley and is venture backed by Valley Capital Partners, Big Basin Partners, SIG – Susqehanna and Northern Light Venture Capital.
Stellar Cyber had a great win raising funds for its B round funding last month raising $38M from investors like Highland Capital Partners, with full participation from all existing investors including Valley Capital Partners, SIG and Northern Light Venture Capital, and new strategic investor Samsung. This new round brings Stellar Cyber’s total funding to over $68 million.:
Description:
- Understanding of Stellar Cyber’s product in depth;
- Work with security researchers to transform requirements in threat detection and response to problems in machine learning;
- Research and adapt machine learning algorithms for threat detection and response;
- Develop product features and proof-of-concepts for threat detection and response with machine learning algorithms;
- Continuously evaluate, review, and improve threat detection and response features deployed to customers in terms of accuracy and performance.
Requirements
- PhD in Computer Science with a research focus on machine learning or related fields;
- At least five years of industry and/or academic experience with outstanding deliverables, including direct business contributions and/or top-tier academic publications;
- Comprehensive knowledge on various subareas in machine learning and their applications in industry, e.g., time-series analysis, graph learning, natural language processing;
- Strong engineering skills including design and implementation of efficient machine learning algorithms and pipelines for the big data platform;
- Experience with open-source machine learning libraries and/or custom machine learning pipelines;
- Knowledge of cybersecurity and applications of machine learning in cybersecurity is a plus;
- Willingness and enthusiasm to keep up with new technologies and tools;
- Proficient in text-based communication (e.g., Slack) and can succinctly write technical documentation.
Benefits
We pride ourselves in recognizing our employees. Here are some examples of our benefits program:
· Pre-IPO Stock Options
· Medical, Dental & Vision care
· 401(k)
· Employee Assistance Program
· Employee Discount Program
· Life Insurance
· Paid time off
· Referral Program
· Rewards and Recognition Program
Tags: Big Data Computer Science Engineering Machine Learning NLP PhD Pipelines Research Security
Perks/benefits: Career development Equity Health care
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