Gen Digital
Develops subscription-based cybersecurity and privacy software
AI / Machine Learning Engineer 2
About the job
- Five or more years of professional experience in applied machine learning, data science, machine-learning engineering, applied statistics, or a related field, or equivalent demonstrated impact.
- Experience building and evaluating models using large-scale behavioral, transactional, product, marketing, or customer data.
- Experience designing experiments, defining success metrics, measuring incrementality, interpreting results, and translating findings into practical product or business decisions.
- Experience partnering with engineering, product, analytics, and business teams to deploy and operate production machine-learning systems, including inference pipelines, monitoring, observability, retraining, and cloud-based MLOps workflows.
- Strong Python skills and hands-on experience with common machine-learning frameworks, supervised learning, model selection, hyperparameter tuning, evaluation, and performance diagnosis.
- Strong SQL skills and experience with BigQuery, Spark, or similar platforms for data collection, cleaning, preprocessing, exploration, and feature development.
- Strong statistical reasoning and practical knowledge of A/B testing, holdout design, causal measurement, incrementality, statistical significance, and business-impact analysis.
- Experience with cloud machine-learning platforms, deployment pipelines, batch or real-time inference, continuous integration and continuous delivery, model registries, monitoring, observability, retraining, rollback, and scalable system design.
- Independently lead applied machine-learning initiatives from data preparation and model development through experimentation, production deployment, monitoring, and continuous optimization.
- Deploy and operate scalable machine-learning solutions with workflows for batch or real-time inference, evaluation, monitoring, observability, versioning, retraining, rollback, and continuous model iteration.
- Design and analyze A/B tests, holdouts, and validation frameworks to measure incremental customer and business outcomes.
- Design and build propensity, response, uplift, recommendation and ranking, contextual bandit, segmentation, optimization, and customer-value models.
- Partner with machine-learning infrastructure, data engineering, backend engineering, product, analytics, and business teams to integrate models into reliable production systems.
- Build agentic tools, automation, and reusable modules that streamline model-development and MLOps workflows and improve the speed, quality, and consistency of machine-learning delivery.
- Experience with personalization, recommendation, ranking, uplift modeling, causal inference, contextual bandits, pricing, optimization, or lifecycle decisioning.
- A technical degree in Computer Science, Data Science, Statistics, Mathematics, Operations Research, Economics, Engineering, or a related field.
- A Master’s or PhD in a quantitative field.
About the company
GenDigital provides cybersecurity and digital privacy software aimed at individual consumers. Its offerings include antivirus software, VPNs, and identity theft protection, all delivered via a subscription model that provides ongoing access and updates. The products run on users’ devices and, for privacy tools like VPNs, encrypt internet traffic to guard online activity; antivirus software detects and blocks malware, while identity protection monitors personal data and alerts users to potential threats. GenDigital differentiates itself by focusing on the consumer market with a broad suite of privacy and security tools that are continually updated under a recurring subscription, helping users maintain control of their digital lives. Its main goal is to help people navigate the online world securely and privately while protecting their personal information.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Tempe, Arizona
Founded
1982
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Simplify's Take
What believers are saying
- Q1 fiscal 2027 revenue rose 11%, and Gen lifted full-year guidance on August 6, 2026.
- LifeLock’s August 19, 2026 relaunch adds scam verification, reimbursement, and enhanced anomaly detection.
- Engine Marketplace surpassed a $500 million annual run rate, expanding insurance partnerships quickly.
What critics are saying
- Columbia University’s patent fight still threatens another damages round after the March 2026 appeal.
- Fiscal 2027 restructuring begins May 2026, signaling cost pressure and possible role cuts within twelve months.
- If consumer security becomes bundled utility, low-switching-cost rivals can compress ARPU and margins fast.
What makes Gen Digital unique
- Norton, Avast, LifeLock, and MoneyLion share one cross-sell engine across 500 million users.
- Fearless Planet Index and Gen Threat Labs turn threat telemetry into consumer-facing product intelligence.
- Gen’s AI-powered scam detection targets synthetic identity theft, deepfakes, and voice-clone fraud.
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Benefits
Health Insurance
Disability Insurance
Life Insurance
Unlimited Paid Time Off
401(k) Company Match
Growth & Insights and Company News
6 month growth
↑ 26%1 year growth
↑ 26%2 year growth
↑ 26%Gen Digital's COO, CLO, and Secretary Bryan Seuk Ko sold 28,248 shares of common stock on 4 September 2026, according to an SEC Form 4 filing. The transaction was valued at approximately $866,000, based on a weighted average sale price of $30.67 per share. The sale was executed through a Rule 10b5-1 trading plan adopted on 5 June 2026, which allows for scheduled transactions without direct intervention. The shares sold represented 4% of Ko's direct common stock position. Following the transaction, Ko retains 744,262 shares, representing a 0.12% ownership stake in the company. Gen Digital's stock delivered a 5.9% total return over the 12 months ending on the transaction date. Gen Digital provides cybersecurity solutions through its Norton 360 platform, with a market capitalisation of $17.9bn and trailing twelve-month revenue of $5.1bn.
Nightmare Eclipse drops CrowdStrike, Nvidia, Avast zero-day exploits. Tue, 09/08/2026 - 10:36 / 0 Comments The security researcher known as Nightmare Eclipse has dropped three zero-day exploits targeting products from Avast, CrowdStrike, and Nvidia. Also known as Chaotic Eclipse, Infinite Nightmare, and MSNightmare, the security researcher came to fame for a series of zero-day exploits targeting Microsoft's products, but has recently moved to other vendors as well. In late August, Nightmare Eclipse released a privilege escalation zero-day in a Kaspersky endpoint security product. Dubbed HardBreacher, the exploit has been patched by Kaspersky on August 31. Within a short window last week, Nightmare Eclipse dropped three new zero-day exploits, dubbed PrettyPrague, FalconFlank, and GreenSection. The PrettyPrague proof-of-concept (PoC) code, the researcher says, targets the Avast sandbox to spawn a shell with full system privileges, and may also affect other GenDigital products, including AVG and Norton. "Gen was recently made aware of a security vulnerability affecting a subset of Gen products, including Avast Antivirus, that could allow an attacker to elevate their system privileges. We immediately initiated our security response procedures and have fixed the issue. We take all security matters seriously and encourage users to keep their products up to date to ensure they are protected," a GenDigital spokesperson said, responding to a SecurityWeek inquiry. FalconFlank exploits a bug in the Office malicious macros remediation feature of CrowdStrike Falcon Sensor for privilege escalation, the researcher says. "We are actively investigating these claims and advise customers to disable the Microsoft Office File Suspicious Macro Removal Windows policy setting. Customers remain protected through the Cloud Anti-malware for Microsoft Office Files settings. We refer customers to the FalconFlank Tech Alert in the CrowdStrike support portal," CrowdStrike told SecurityWeek. The GreenSection exploit, Nightmare Eclipse says, targets an out-of-bounds memory write affecting a shared global memory section used by multiple Nvidia user-mode components. "While this bug does not get SYSTEM privileges immediately, it can be used cross user to user boundary easily or even compromise the dwm.exe process. I didn't look deeply into it, but I'd be happy to see someone making a full exploit out of it," Nightmare Eclipse notes. "We are aware of reports describing a proof-of-concept that demonstrates improper access controls on a shared memory section used by certain NVIDIA GPU display driver components on Windows. NVIDIA is reviewing the reported behavior through our established security and product engineering processes. NVIDIA takes reports of this nature seriously and is actively investigating to determine the root cause, affected configurations, and appropriate remediation," an Nvidia spokesperson said. Security researcher Kevin Beaumont said late last week that the Avast, CrowdStrike, and Kaspersky exploits work. Add new comment. * No HTML tags allowed. * Lines and paragraphs break automatically. * Web page addresses and email addresses turn into links automatically. CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. 8 + 2 = Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Avast Antivirus zero-day poc lets attackers dump SAM database and gain SYSTEM shell. 2026-09-03 13:09 A public proof-of-concept (PoC) repository has revealed a local privilege escalation zero-day vulnerability in GenDigital's Avast Antivirus. This vulnerability allows an attacker to dump the Windows Security Account Manager (SAM) database and launch a shell running as NT AUTHORITY\SYSTEM. The researcher behind the repository, known as MSNightmare, claims that the issue affects fully patched installations [...] Read the original article: Researchers have released a proof of concept (PoC) exploit for a critical privilege escalation vulnerability affecting Microsoft Windows. This vulnerability, CVE-2024-43452, allows attackers to gain elevated privileges on a compromised system, potentially leading to unchecked access to sensitive data and critical system resources. Vulnerability Details The Windows Registry database stores... Security Products & Services January 6, 2025 A newly disclosed zero-day vulnerability dubbed "RoguePlanet" is affecting Microsoft Defender, allowing attackers to escalate privileges and obtain full SYSTEM-level access on vulnerable Windows machines. A security researcher recently published the issue under the alias "MSNightmare," who released a proof-of-concept (PoC) exploit on GitHub. The vulnerability appears to affect both... June 10, 2026 A proof-of-concept exploit has been released for CVE-2025-32463, a critical local privilege escalation vulnerability affecting the Sudo binary that allows attackers to gain root access on Linux systems. The flaw was discovered by security researcher Rich Mirch and has garnered significant attention from the cybersecurity community. Critical Vulnerability in Sudo... October 6, 2025
Gen Digital CCleaner link following local privilege escalation vulnerability (CVE-2026-12410). Computer Security This vulnerability allows local attackers to escalate privileges on affected installations of Gen Digital CCleaner. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The specific flaw exists within the Uninstaller functionality. By creating a junction, an attacker can abuse the service to delete arbitrary files. An attacker can leverage this vulnerability to escalate privileges and execute arbitrary code in the context of SYSTEM. Gen Digital has issued an update to correct this vulnerability. More details can be found at: https://www.cve.org/CVERecord?id=CVE-2026-12410 I am one of the editors here at www.systemtek.co.uk I am a UK based technology professional, with an interest in computer security and telecoms. Loading...
Gen Digital reported strong first-quarter results for fiscal year 2027, exceeding guidance across key metrics. The cybersecurity company posted 11% growth in both bookings and revenue, whilst non-GAAP earnings per share grew 19%. The company's paid customer base surpassed 80 million, marking the 11th consecutive quarter of sequential growth. This performance reinforced management's confidence in their fiscal 2027 guidance, which calls for 8-10% revenue growth and mid-teens EPS growth. CEO Vincent Pilette emphasised Gen Digital's unified platform approach, with two business segments working together to help customers navigate an increasingly complex digital landscape. The results demonstrate the company's continued momentum in attracting and retaining paid subscribers. All growth rates were adjusted to exclude an extra fiscal week in the prior-year quarter and to include MoneyLion's stub financials for comparison purposes.