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Machine Learning Security Intern Jobs (NOW HIRING)

S. security and promote global stability. Our mission spans four critical national security areas ... We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ...

S. security and promote global stability. Our mission spans four critical national security areas ... Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and ...

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Machine Learning Security Intern information

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$25.5K

$42.6K

$88K

How much do machine learning security intern jobs pay per year?

As of Jun 8, 2026, the average yearly pay for machine learning security intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Security Intern vs Data Security Intern?

AspectMachine Learning Security InternData Security Intern
Required CredentialsEnrolled in Computer Science, Cybersecurity, or related fields; knowledge of machine learning and security conceptsEnrolled in Cybersecurity, Information Technology, or related fields; understanding of data protection and security protocols
Work EnvironmentTech companies, research labs, or startups focusing on AI and securityOrganizations handling sensitive data, financial institutions, or tech firms with data security teams
Employer & Industry UsagePrimarily in AI, cybersecurity, and tech industriesAcross finance, healthcare, and tech sectors emphasizing data privacy

The Machine Learning Security Intern focuses on securing AI models and algorithms, combining machine learning knowledge with security practices. In contrast, the Data Security Intern concentrates on protecting data assets and ensuring compliance. Both roles require cybersecurity fundamentals but differ in their technical focus and industry applications.

What is a Machine Learning Security Intern?

A Machine Learning Security Intern is a student or early-career professional who assists in protecting machine learning systems and data from security threats. Their responsibilities typically include identifying vulnerabilities in ML models, evaluating attack surfaces, and helping develop secure AI solutions. Interns may also support the implementation of best practices in data privacy, adversarial defense, and secure deployment of ML algorithms. This role provides hands-on experience at the intersection of cybersecurity and artificial intelligence, preparing interns for a career in either or both fields.

What are the key skills and qualifications needed to thrive as a Machine Learning Security Intern, and why are they important?

To thrive as a Machine Learning Security Intern, you need a solid understanding of machine learning concepts, cybersecurity fundamentals, and programming skills, often supported by coursework in computer science or related fields. Familiarity with tools such as Python, TensorFlow or PyTorch, and security analysis platforms is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate and solve complex security challenges. These skills and qualities are crucial to effectively identify, analyze, and mitigate security risks in machine learning systems.

How do Machine Learning Security Interns typically collaborate with engineering and data science teams during their internship?

Machine Learning Security Interns often work closely with both engineering and data science teams to identify security vulnerabilities in machine learning models and pipelines. Collaboration usually involves participating in code reviews, contributing to threat modeling sessions, and helping to develop or test security tools and protocols. Interns may also assist in analyzing datasets for potential biases or data poisoning threats, and present their findings to cross-functional teams. This teamwork helps interns gain practical experience while ensuring that security best practices are integrated into the development lifecycle.
Infographic showing various Machine Learning Security Intern job openings in the United States as of May 2026, with employment types broken down into 17% Internship, 50% Full Time, and 33% Part Time. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Scientist Intern (Global E-Commerce Content Recommendation) - 2026 Start (PhD)

Machine Learning Scientist Intern (Global E-Commerce Content Recommendation) - 2026 Start (PhD)

TikTok

San Jose, CA • On-site

$60/hr

Internship

Medical, Life

Posted 5 days ago


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

112th of 186 rated software companies


Job description

Responsibilities
Team Introduction Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). In this role, you'll have the opportunity to: - Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; - Explore generative recommendation techniques, including Diffusion Models, prompt learning, and multimodal content generation, to unlock new capabilities in content discovery. - Build multi-model and cross-scenario systems enabling unified recommendation across livestreams, short videos, and search. - Deliver end-to-end machine learning solution to address critical product challenges; - Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. - Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.
Qualifications
Minimum Qualifications: - Currently pursuing a PhD with a background in computer science, machine learning, or similar fields; - Good knowledge of theoretical and empirical research in addressing research problems; - Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch,TensorFlow) and familiarity with deep neural network architectures. Preferred Qualifications: - Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; - Strong first-author publications record in AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.); - Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design; - Internship experience in an AI research organization. Privacy Statement By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $60- $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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