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Junior Exploit Developer Jobs in California (NOW HIRING)

Security Architect

Sunnyvale, CA · On-site

$76.25 - $98.50/hr

ECU flashing and diagnostic tools (ODX/PDX scripting, UDS exploit development) * Strong systems ... Mentoring junior engineers in secure coding practices * Familiarity with automotive development ...

Security Architect

Sunnyvale, CA · On-site

$76.25 - $98.50/hr

ECU flashing and diagnostic tools (ODX/PDX scripting, UDS exploit development) * Strong systems ... Mentoring junior engineers in secure coding practices * Familiarity with automotive development ...

Junior Exploit Developer information

What are the key skills and qualifications needed to thrive as a Junior Exploit Developer, and why are they important?

To thrive as a Junior Exploit Developer, you need a solid understanding of programming (especially C and Python), computer architecture, and vulnerability analysis, often supported by a degree in computer science or related experience. Familiarity with tools like IDA Pro, Ghidra, debuggers, and knowledge of operating system internals are important, as are certifications such as OSCP or CEH. Strong analytical thinking, attention to detail, and persistence are crucial soft skills for identifying security flaws and developing exploits. These capabilities enable you to effectively discover, analyze, and responsibly report or remediate software vulnerabilities, which is vital for security research and defense.

What are common challenges faced by Junior Exploit Developers in their first year, and how can they overcome them?

Junior Exploit Developers often encounter challenges such as understanding complex low-level systems, staying updated with evolving security patches, and navigating the ethical and legal boundaries of vulnerability research. Collaborating with experienced security professionals and actively participating in code reviews can help build practical skills and confidence. Additionally, making use of open-source projects, Capture The Flag (CTF) competitions, and continuous learning through security communities are effective ways to overcome early hurdles and grow in this highly specialized field.

What are Junior Exploit Developers?

Junior Exploit Developers are entry-level cybersecurity professionals who specialize in identifying and developing software exploits to test and improve the security of computer systems. They analyze software and hardware for vulnerabilities, create proof-of-concept code to demonstrate weaknesses, and often work under the guidance of senior security researchers or penetration testers. Their work helps organizations understand potential security flaws and proactively defend against cyber threats.

What is the difference between Junior Exploit Developer vs Security Analyst?

AspectJunior Exploit DeveloperSecurity Analyst
Required CredentialsKnowledge of programming, basic cybersecurity certifications (e.g., CompTIA Security+)Security certifications (e.g., CISSP, Security+), analytical skills
Work EnvironmentHands-on vulnerability testing, exploit development in labs or controlled environmentsMonitoring security systems, analyzing threats, policy implementation
Employer & Industry UsageCybersecurity firms, tech companies, penetration testing teamsCorporate security teams, government agencies, financial institutions

Junior Exploit Developers focus on identifying and developing exploits for vulnerabilities, often working in testing environments. Security Analysts monitor and analyze security threats, implementing defenses. While both roles require cybersecurity knowledge, their daily tasks and objectives differ significantly.

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Machine Learning Engineer

Embedding VC

Mountain View, CA • On-site

Full-time

Posted 5 days ago


Job description

About Creatify
Creatify is building the world's first end-to-end AI advertising agent-a platform that automates the entire video ad lifecycle, from scripting and avatar-led generation to testing, optimization, and publishing across Meta, TikTok, YouTube, and more.
In just 18 months, we've surpassed $10 million in ARR, serving over 1.5 million users across 10,000+ teams. Leading brands-including Alibaba, HubSpot, Binance, NewsBreak, and Zumper-use Creatify to produce personalized, high-performing video ads in minutes.
We have raised $24M in funding from leading Silicon Valley firms including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, Creator Ventures, Leadout Capital, Hat Trick Capital, and many more. Check out our latest coverage by Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.
Based in Mountain View, we are a team of passionate AI researchers, engineers, and advertising veterans. Join us in reinventing the advertising industry with AI.
About this role
We're hiring a Machine Learning Engineer to design and scale advanced models and systems for prediction, recommendation, and generative AI. In this role, you'll work on large-scale applied ML problems, build state-of-the-art solutions, and mentor junior engineers while occasionally leading projects.
This is a full-time, in-person position based in Mountain View, CA.
Responsibilities
  • Research, design, develop, and test operating-systems-level software, compilers, and network distribution software for massive social data and prediction problems.
  • Bring extensive industry experience across ranking, classification, recommendation, and optimization problems (e.g., payment fraud, CTR/CVR prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, spam detection), or expertise in modern generative and foundation model approaches (e.g., LLMs, transformers, diffusion models).
  • Tackle large-scope problems; develop highly scalable systems, algorithms, and tools leveraging deep learning, data regression, and rules-based models.
  • Suggest, collect, analyze, and synthesize requirements and identify bottlenecks across technology, systems, and tools.
  • Build solutions that iterate quickly, efficiently leverage orders of magnitude more data, and explore state-of-the-art deep learning techniques.
  • Demonstrate strong engineering craft and operate with minimal guidance while mentoring junior engineers.
  • Apply advanced ML methods to fully exploit modern parallel environments (e.g., distributed clusters, and GPU).
  • Lead small teams or projects where necessary, providing technical guidance, code reviews, and architectural direction.
Qualifications
  • Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or a related field.
  • 4+ years of industry experience in software engineering or applied machine learning roles (E5+ or equivalent).
  • Proven track record of delivering large-scale systems and solving complex applied ML problems in production.
  • Prior experience in a tech lead (TL) capacity, such as driving technical direction, mentoring teammates, or coordinating cross-functional projects.

We are an equal opportunity employer and highly value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.