Machine Learning Infrastructure Engineer, Stellar Cyber
+ Pre-IPO Stock options
Open XDR cyber security solutions
Be an early applicant
Open XDR cyber security solutions
101-200 employees
Be an early applicant
+ 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
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting
- 2 years of experience with data structures or algorithms in either an academic or industry setting
- 2 years of experience with developing backend infrastructure, distributed systems, APIs (REST / gRPC), and microservices for MLOps related projects
- Experience with cloud computing technologies, including containerization, orchestration, and deployment (Docker, Kubernetes, etc)
- Experience in one or more of the following programming languages: Python, Java, Go
Desirable
- Experience working on LLM applications in high-sensitivity domains (e.g., finance, defense, health)
- Experience with Generative AI frameworks (e.g., LangChain, LangGraph, AutoGen, or other frameworks) and technologies (prompt engineering, vector databases, RAG, etc.)
- Experience with observability practices in ML systems (e.g., metrics, cost tracking)
- Experience deploying and scaling LLMs for inference using frameworks such as vLLM, llama.cpp, and etc
- Experience working on ML platform teams and/or building tools for researchers
- Knowledge of SecOps concepts, activities, workflows is a plus
What the job involves
- To accelerate our growth, we are looking for a highly skilled Machine Learning Infrastructure Engineer with a passion for building robust and scalable systems to power Stellar Cyber’s Autonomous SOC applications
- In this role, you will be at the forefront of AI infrastructure innovation, responsible for developing the foundational components that enable intelligent agents to work like true SOC analysts to operate in dynamic SecOps environments
- You'll design and build Agentic AI frameworks to orchestrate LLM-based agents capable of reasoning, planning, and executing SecOps tasks in Stellar Cyber’s Open XDR platform
- Design and develop scalable LLM inference infrastructure that supports runtime- and cost-efficient serving and resource management across LLM hosting providers
- Develop MCP servers that interact with Open XDR platform services and features, and integrate with LLM-based agents
- Develop other supporting API services necessary for Autonomous SOC applications to provide reliable and extensible interface for agent operations
- Collaborate closely with machine learning / security researchers, UI / backend / infrastructure engineers, and product management to align infrastructure with evolving product needs
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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