Machine Learning Engineer / Researcher, Stellar Cyber
+ Pre-IPO stock options
Open XDR cyber security solutions
Open for applications
Open XDR cyber security solutions
101-200 employees
Open for applications
+ Pre-IPO stock options
101-200 employees
Company mission
To deliver world-class security products for the 99% by democratizing cybersecurity for everyone.
Role
Who you are
- A master’s or Ph.D. degree in Computer Science or a related field, with a focus on machine learning, deep learning, natural language processing, and/or artificial intelligence in general
- Proven experience working as a Machine Learning Engineer, Research Scientist, or a similar role, with a specific focus related to time series analysis, graph machine learning, natural language processing, and other relevant machine learning areas in general
- Experience with tools and frameworks for building machine learning applications
- Strong understanding of machine learning algorithms, statistical models, deep neural networks
- Strong problem solving skills, especially the ability to translate research findings into practical solutions
- Strong engineering mindset and skills, including the ability of quick design and implementation of proof of concepts in Python, and the ability of designing and implementing production-ready solutions
- Excellent communication skills, both written and verbal, with the ability to present complex ideas to both technical and non-technical stakeholders
- (Preferred) Prior knowledge and/or experience in cybersecurity, such as detection and response, threat hunting, and etc
- (Preferred) Prior knowledge and/or experience in security products and their data
- (Preferred) Prior knowledge and/or experience in open-source data models such as Elastic Common Schema and Open Cybersecurity Schema Framework
What the job involves
- To accelerate our growth, we are seeking a talented and highly skilled Machine Learning Engineer / Researcher to join our cybersecurity team
- As a Machine Learning Engineer / Researcher, you will be responsible for researching, designing, and developing data schema and normalization, and threat detections to enhance integration and security capabilities of Stellar Cyber’s Open XDR platform
- Work with the data integration team to review and design data schema and normalization for integration of third-party security data
- Work with the security team to transform detection use cases and requirements to data science or machine learning problems, and propose solutions based on integrated data
- Research and design efficient machine learning algorithms based on security insights and data characteristics for security detection, correlation, and investigation
- Design and implement product features for security detection, correlation, and investigation
- Create necessary processes, tools, metrics to monitor and evaluate the efficacy of detections released to Stellar Cyber’s customers
Our take
Cyber attacks and data breaches are on the rise, particularly at enterprise level, leading to a spike in demand for solutions that offer a 360-degree view of the security landscape – something that many security vendors aren’t able to provide, or at least specialize in.
In a bid to unify and optimize all the security tools used by enterprises, Stellar Cyber offers an open Extended Detection and Response (XDR) platform which integrates with existing stacks such as AWS, G Suite, Crowdstrike, and Cisco to automatically detect and nullify risks.
Though founded back in 2015, Stellar Cyber has been on an impressive upward trajectory since rebranding from Aella Data in 2019 and becoming more focused on medium-sized businesses with lean security teams.
The fact that it’s been continually expanding its leadership team and advisory board, receiving multiple awards year after year, and partnering with Amazon Web Services suggests that the company is intent on and is sustaining its rapid growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Aug 2023
$20.5m
LATE VC
Nov 2021
$38m
SERIES B
Total funding: $87.8m
Company benefits
- 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
Company HQ
North San Jose, San Jose, CA
Leadership
Changming Liu
(Co-Founder & CEO)Founded Aerohive Networks in 2006, going public in 2014.
Aimei Wei
(Co-Founder & CTO)Involved in Software Development and Engineering since 1993. Was Senior Software Engineer at Cisco Networks before co-founding Stellar Cyber, following spells as Lead Engineer at Kineto Wireless and Ciena.
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