Applied Machine Learning Engineer, Security Research
Applied Machine Learning Engineer, Security Research
Posted on :
02-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Join our team and help redefine the landscape of vulnerability research on Apple platforms by harnessing cutting-edge language models and generative this highly innovative domain you will create advanced ML tools that automate security assessmentsmaking a massive impact across a global user base. A key part of your work will involve sifting through enormous volumes of system and application logs hunting for that needle in the haystack: subtle anomalies and indicators of potential vulnerabilities hidden within petabytes of data. By applying large language models (LLMs) to complex codebases youll identify weaknesses and generate sophisticated test suites to probe them. Youll collaborate with dedicated vulnerability research teams and ML experts. Experience with reinforcement learning is a significant plus. Join us to push the boundaries of ML-driven security and fortify the digital experience for millions of users worldwide
- Solid foundation in ML with special emphasis on generative technologies and language models.
- Experience in training and fine tuning language models over structured weakly structured or code-based datasets.
- Expertise in ML frameworks like PyTorch or JAX.
- Experience with tool development using programming languages such as C C Python Swift Objective-C.
- Creative & effective problem-solving and analytical skills.
- Ability to comprehend interpret and apply ground breaking research into products
- Familiarity with prompt engineering reinforcement learning chain-of-thought approaches
- Experience in software engineering
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
