Infrastructure Security Engineer, Weights & Biases
$128-179k
+ Equity
MLOps platform for developers
Open for applications
MLOps platform for developers
201-500 employees
Open for applications
$128-179k
+ Equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- We are seeking a highly skilled Infrastructure Security Engineer with hands-on experience in security operations, incident response, and vulnerability management
- The ideal candidate has a strong technical foundation, proactive problem-solving skills, and a commitment to continuously improving our security landscape
- 5-7 years of experience as a Security Engineer in a startup environment
- Expertise in securing Kubernetes environments across multiple cloud platforms
- Proficiency in scripting languages such as Python
- Experience with infrastructure tools like Terraform
- Professional certification such as OSCP, OSWE, OSCE, or similar
What the job involves
- Reporting to the Security Engineering Manager, the Infrastructure Security Engineer will be responsible for detecting vulnerabilities, responding to security incidents, and maintaining a strong security posture across our systems
- Continuously monitor alerts, logs, and network activity using security tools
- Analyze incidents, investigate breaches, and perform root cause analysis to mitigate risks
- Conduct regular vulnerability assessments
- Work with DevOps and infrastructure teams to prioritize and remediate vulnerabilities
- Proactively identify security risks and anomalies through threat hunting
- Lead or support forensic investigations and security incident reporting
- Deploy, configure, and optimize security tools
- Ensure tools are fine-tuned to detect and prevent threats while minimizing false positives
- Support DevSecOps initiatives by integrating security best practices into development pipelines
- Ensure secure coding practices and infrastructure configurations
- Assist with security audits and maintain compliance with industry standards
- Document security incidents, policies, and procedures for internal and external use
- Develop and conduct security training programs for employees on phishing, social engineering, and security best practices
Our take
Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.
The company has also launched a product to help different parties collaborate on machine learning models. This is geared at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterpise companies like Samsung and Salesforce.
The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
31% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2023
$50m
LATE VC
Oct 2021
$135m
SERIES C
Total funding: $250m
Company benefits
- 🏝️ Unlimited vacation time
- 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
- 🏠 Remote first culture with in-office flexibility in San Francisco
- 💵 $500 home office budget with new high-powered laptop
- 🥇 Truly competitive salary and equity
- 🚼 12 weeks of Parental leave
- 📈 401(k)
Company HQ
SoMa, San Francisco, CA
Leadership
Chris Van Pelt
(CISO)Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).
Lukas Biewald
(CEO)Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).
Shawn Lewis
(CTO)Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.
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