Security Engineer, Scale AI
Detection & Response
$237.6-297k
Offers equity
Training and validation data for AI applications
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
$237.6-297k
Offers equity
1001+ employees
Company mission
To develop reliable AI systems for the world's most important decisions.
Role
Who you are
- 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation
- Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code — not just scripts
- Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments
- Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically
- Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs
- Familiarity with digital forensics tools and malware analysis techniques
- Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate
- Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows
- Strong communication skills, with the ability to translate complex security findings into clear business impact
- Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus
What the job involves
- We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team
- This role sits at the intersection of security operations and software engineering — you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them
- You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible
- Your ability to write production-quality code is just as important as your ability to triage an alert
- You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps — but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation
- Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance
- Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity
- Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity
- Perform digital incident investigations to identify and contain potential security breaches
- Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies
- Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows
- Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization
- Utilize threat intelligence platforms to improve hunting, detection, and response workflows
- Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. So, by positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexandr Wang
(Founder & CEO)Previously, Alexandr was an Algorithm Developer at Hudson River Trading, a Tech Lead and Quora and a Software Engineer at Addepar.
Salary benchmarks
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