Full-Time

Security Engineering Analyst

Posted on 10/28/2024

Weight & Biases

Weight & Biases

201-500 employees

Platform for AI model development and management

Enterprise Software
AI & Machine Learning

Compensation Overview

$109k - $151kAnnually

Junior, Mid

San Francisco, CA, USA

Remote first culture with in-office flexibility in San Francisco.

Category
Cybersecurity
IT & Security
Required Skills
Bash
Kubernetes
Microsoft Azure
Python
Wireshark
Docker
AWS
Linux/Unix
Google Cloud Platform
Requirements
  • Bachelor’s degree in Information Security, Cybersecurity, Computer Science, or a related technical field.
  • 2+ years of experience in a security analyst, security operations center (SOC), or penetration testing role.
  • Experience with security tools such as SIEM, IDS/IPS, EDR, and firewalls.
  • Strong understanding of network protocols, operating systems (Linux, Windows), and cloud security (AWS, GCP, Azure).
  • Proficiency with tools like Burp Suite, Nessus, Wireshark, Metasploit, and other security assessment tools.
  • Familiarity with scripting or programming languages (Python, Bash, etc.) for automating tasks or writing custom tools.
  • Knowledge of cloud security and DevOps practices, particularly securing Kubernetes and Docker environments.
  • Offensive Security Certified Professional (OSCP)
  • Offensive Security Certified Expert (OSCE)
  • Offensive Security Web Expert (OSWE)
Responsibilities
  • Continuously monitor alerts, logs, and network activity using security tools. Analyze security incidents, investigate breaches, and perform root cause analysis to mitigate risks.
  • Regularly perform vulnerability assessments using tools like Nessus, Burp Suite, or custom scripts. Prioritize and remediate vulnerabilities in collaboration with the DevOps and infrastructure teams.
  • Proactively identify potential security risks and anomalies through threat hunting. Lead or assist in security incident investigations, including forensic analysis and reporting.
  • Deploy, configure, and optimize security tools (firewalls, SIEM, EDR). Ensure tools are effectively tuned to detect and prevent threats without overwhelming false positives.
  • Work closely with our development teams to implement secure coding practices, ensuring that applications and services are secure from the ground up (DevSecOps).
  • Support security audits and ensure compliance with relevant standards and frameworks. Document security incidents, policies, and procedures for both internal use and external audits.
  • Develop and conduct security training programs for employees to improve awareness of common threats like phishing, social engineering, and best security practices.
  • Apply best practices for securing cloud infrastructure (AWS, GCP) and containerized environments (Kubernetes, Docker). Ensure the correct configuration and security of cloud resources.

Weights & Biases provides a platform designed to help AI developers create more efficient machine learning models quickly. The platform includes tools for tracking experiments, managing workflows, evaluating model performance, and reproducing models, as well as features for version control and dataset iteration. This allows AI teams to conduct more experiments and improve their productivity. Weights & Biases operates on a software-as-a-service model, where clients pay a subscription fee to access its features, ensuring a steady revenue stream. The company stands out in the growing AI and machine learning market by offering a comprehensive solution that simplifies the development process for machine learning teams.

Company Stage

Late Stage VC

Total Funding

$243.2M

Headquarters

San Francisco, California

Founded

2017

Growth & Insights
Headcount

6 month growth

6%

1 year growth

6%

2 year growth

19%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI model version control boosts W&B's market relevance.
  • Integration with NVIDIA enhances W&B's capabilities for enterprise-grade AI applications.
  • Winning Google Cloud Partner Award highlights W&B's impact in generative AI.

What critics are saying

  • Cohere's enhanced fine-tuning service may attract enterprise customers away from W&B.
  • NVIDIA's NIM microservices could overshadow W&B's offerings in AI deployment.
  • Federal market entry poses risks if W&B fails to meet government contract demands.

What makes Weight & Biases unique

  • W&B offers comprehensive tools for AI model tracking and performance evaluation.
  • The platform supports seamless integration with NVIDIA DGX systems for scalable AI workloads.
  • W&B's SaaS model ensures recurring revenue through long-term client subscriptions.

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Benefits

🏝️ Unlimited vacation time

🩺 100% Medical, Dental, and Vision for employees and Family Coverage

🏠 Remote first culture with in-office flexibility in San Francisco

💵 $1000 home office budget with new high-powered laptop

🥇 Truly competitive salary and equity

🚼 12 weeks of Parental leave

📈 401(k)

INACTIVE