Machine Learning Intern Jobs
Machine Learning Intern jobs are open across tech, healthcare, finance, and research institutions, at levels from undergraduate through graduate, with specializations in natural language processing, computer vision, and predictive modeling. Scan the live roles below and apply to whichever ones fit.
Find Machine Learning Intern JobsLooking for remote work? View remote machine learning intern jobs →Student or new grad? View machine learning intern internships →Overview
Showing 5 of 1,638+ Machine Learning Intern jobs
Responsibilities
About the Team
The TikTok U.S. Data Security (USDS) team is responsible for the security, integrity, and compliance of TikTok’s data within the United States. The Data Platform Team builds a scalable, reliable, cost-efficient infrastructure that ensures data integrity and empowers every business unit to win through self-service tools and scientific insights.
About the Role
We are seeking a Senior Machine Learning Engineer to join our team as a technical lead, driving the architecture and execution of our next-generation AI Risk & Compliance Intelligence Platform and Intelligent Data Agent Ecosystem. In this role, you will be instrumental in bridging the gap between standard prompt engineering and native, model-driven reasoning frameworks. You will tackle complex ML challenges around offline/online evaluation, synthetic data generation for small-sample scenarios, and automated agent skill optimizations across Data & Engineering workflows (DA/DS/DE/SRE).
Key Responsibilities
- Design, build, and scale robust LLM evaluation architecture, including automated offline datasets, metric suites, and benchmarking pipelines to measure prompt and model performance.
- Innovate on LLM-driven synthetic data generation methodologies to tackle data scarcity bottlenecks and systematically evaluate long-tail/edge-case risk scenarios.
- Advance beyond criteria-based prompt engineering by extracting deep risk patterns directly from complex case data to build native, ML-driven decision models and reasoning abstractions.
- Architect, evaluate, and continuously optimize modular agent skills and tools tailored for Data Science, Analytics, Data Engineering, and SRE workflows to maximize tool-use accuracy, execution efficiency, and task success rates.
- Implement advanced evaluation methodologies (such as LLM-as-a-judge and multi-agent benchmarking) across both risk intelligence and agentic ecosystems.
- Provide technical leadership by establishing core ML system design patterns, benchmarking standards, and engineering best practices, while translating complex operational requirements into scalable machine learning solutions across cross-functional partnerships.
Qualifications
Minimum Qualifications
- Experience: 5+ years of software/ML engineering experience with a strong track record of designing, building, and deploying ML/LLM systems in production.
- Generative AI & LLMs: Deep hands-on expertise with LLM architectures, fine-tuning, RAG, prompt tuning, and agentic frameworks.
- Evaluation & Data Bootstrapping: Demonstrated experience building robust LLM evaluation frameworks (LLM-as-a-judge, automated benchmark pipelines) and tackling data scarcity/imbalance problems.
- Core Engineering: Strong coding skills alongside production experience with scalable data processing pipelines.
Preferred Qualifications
- Prior domain experience in Risk & Compliance Intelligence and Automated Decision Systems.
- Hands-on experience with synthetic dataset generation or bootstrapping models for cold-start scenarios.
- Experience building AI tools or agents for technical personas (Data Analysts, Data Scientists, Data Engineers, Data SRE).
- Demonstrated ability to serve as a founding technical lead on ambiguous, high-impact initiative pods.
About USDS
TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
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.
USDS Reasonable Accommodation
USDS 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 https://tinyurl.com/USDS-RA
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $198360 - $416100 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
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.
Responsibilities
About the Team
The TikTok U.S. Data Security (USDS) team is responsible for the security, integrity, and compliance of TikTok’s data within the United States. The Data Platform Team builds a scalable, reliable, cost-efficient infrastructure that ensures data integrity and empowers every business unit to win through self-service tools and scientific insights.
About the Role
We are seeking a Senior Machine Learning Engineer to join our team as a technical lead, driving the architecture and execution of our next-generation AI Risk & Compliance Intelligence Platform and Intelligent Data Agent Ecosystem. In this role, you will be instrumental in bridging the gap between standard prompt engineering and native, model-driven reasoning frameworks. You will tackle complex ML challenges around offline/online evaluation, synthetic data generation for small-sample scenarios, and automated agent skill optimizations across Data & Engineering workflows (DA/DS/DE/SRE).
Key Responsibilities
- Design, build, and scale robust LLM evaluation architecture, including automated offline datasets, metric suites, and benchmarking pipelines to measure prompt and model performance.
- Innovate on LLM-driven synthetic data generation methodologies to tackle data scarcity bottlenecks and systematically evaluate long-tail/edge-case risk scenarios.
- Advance beyond criteria-based prompt engineering by extracting deep risk patterns directly from complex case data to build native, ML-driven decision models and reasoning abstractions.
- Architect, evaluate, and continuously optimize modular agent skills and tools tailored for Data Science, Analytics, Data Engineering, and SRE workflows to maximize tool-use accuracy, execution efficiency, and task success rates.
- Implement advanced evaluation methodologies (such as LLM-as-a-judge and multi-agent benchmarking) across both risk intelligence and agentic ecosystems.
- Provide technical leadership by establishing core ML system design patterns, benchmarking standards, and engineering best practices, while translating complex operational requirements into scalable machine learning solutions across cross-functional partnerships.
Qualifications
Minimum Qualifications
- Experience: 5+ years of software/ML engineering experience with a strong track record of designing, building, and deploying ML/LLM systems in production.
- Generative AI & LLMs: Deep hands-on expertise with LLM architectures, fine-tuning, RAG, prompt tuning, and agentic frameworks.
- Evaluation & Data Bootstrapping: Demonstrated experience building robust LLM evaluation frameworks (LLM-as-a-judge, automated benchmark pipelines) and tackling data scarcity/imbalance problems.
- Core Engineering: Strong coding skills alongside production experience with scalable data processing pipelines.
Preferred Qualifications
- Prior domain experience in Risk & Compliance Intelligence and Automated Decision Systems.
- Hands-on experience with synthetic dataset generation or bootstrapping models for cold-start scenarios.
- Experience building AI tools or agents for technical personas (Data Analysts, Data Scientists, Data Engineers, Data SRE).
- Demonstrated ability to serve as a founding technical lead on ambiguous, high-impact initiative pods.
About USDS
TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
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.
USDS Reasonable Accommodation
USDS 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 https://tinyurl.com/USDS-RA
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $198360 - $416100 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
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.
Machine Learning Intern Jobs by Experience Level
Top Cities Hiring Machine Learning Interns
Explore machine learning intern openings in the cities hiring most right now.
See All 1,638+ Machine Learning Intern Jobs
Find roles that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Job Market
Who's Hiring
- TikTok102
- Meta67
- Uber43
- Lockheed Martin41
- Atlas Technologies36
Top Industries Hiring
- Technology & Software85
- Electronics & Hardware13
- Biotechnology & Pharmaceuticals11
- Education5
- Manufacturing5
What Employers Look For
The qualifications that appear most often in machine learning intern jobs.
- Proficiency in Python and at least one ML framework such as PyTorch or TensorFlow
- Hands-on experience with data preprocessing, feature engineering, and model evaluation
- Familiarity with machine learning concepts including supervised, unsupervised, and deep learning
- Currently enrolled in or recently completed a bachelor's or master's degree in computer science, data science, or a related field
- Experience with data manipulation libraries such as NumPy, pandas, or scikit-learn
- Demonstrated project work or research published in a portfolio, GitHub repository, or academic paper
Tips for Your Machine Learning Intern Job Search
Lead your resume with project impact
Employers scan for measurable outcomes, not just tools used. Quantify what your models actually achieved, such as accuracy improvements or inference speed gains, rather than listing frameworks. Descriptions like 'improved classification accuracy by reducing false positives on a held-out test set' outperform generic skill lists.
Post your notebooks before you apply
Most machine learning intern reviewers look for a GitHub or portfolio link before reading your resume. Push clean, commented notebooks for your two or three strongest projects, add a brief README explaining the problem and your approach, and include that link prominently on your resume and application.
Apply early to roles that fit
Migrate Mate lists machine learning intern openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Match your keywords to each job description
Hiring teams often filter by specific frameworks or research areas. If a posting calls out PyTorch, reinforcement learning, or time-series forecasting, mirror that exact language in your resume where it honestly applies. Generic ML resumes get filtered out before a human reviewer sees them.
Prepare to explain your training pipeline end to end
Technical screens for machine learning interns almost always include a walkthrough of a past project. Practice explaining your data preprocessing choices, model selection rationale, and evaluation metrics out loud. Interviewers probe where you made trade-offs, not just whether your model worked.
Follow up with a specific technical observation
After a technical interview, send a follow-up note that references one concrete detail from the conversation, such as an alternative architecture you mentioned or a dataset edge case you discussed. It signals genuine engagement and keeps your name tied to the technical substance of the interview.
Machine Learning Intern Jobs: Frequently Asked Questions
Which companies are hiring the most machine learning interns?
The most active employers for machine learning interns right now are TikTok, Meta, and Uber, and the most openings are in California, Washington, and New York, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at technology companies, financial services firms, and research-oriented healthcare organizations.
How many machine learning intern jobs are remote?
About 71% of machine learning intern openings are fully remote or hybrid as of November 2026, reflecting how much of the work centers on code and experimentation rather than on-site hardware. Roles focused on NLP research and software-side model development tend to be the most remote-friendly, while positions involving specialized compute infrastructure or lab data are more likely to require on-site presence.
How do you become a machine learning intern?
Start by building a foundation in Python, linear algebra, probability, and core ML algorithms through coursework or self-study. Then complete two or three end-to-end projects, from data collection through model evaluation, and publish them in a public repository. Apply to roles that match your current skill set, and tailor each application to the specific research area or product focus listed in the posting.
Can you get a machine learning intern role with little experience?
Yes, focused project work can substitute for professional experience at the intern level. Build and document a complete ML project, even on a public dataset, that walks through problem framing, preprocessing, modeling, and evaluation. Courses with hands-on assignments, Kaggle competition write-ups, and open-source contributions all signal practical readiness to reviewers who know you haven't held a prior ML role.
What does the machine learning intern interview process look like?
The process typically starts with a recruiter screen, followed by a technical phone interview covering ML fundamentals, probability, and coding. A take-home or live coding challenge often follows, asking you to train or debug a model on a small dataset. Final rounds usually include a project deep-dive where you walk through your own work, and a conversation with the team about research direction or product goals.
Where can I find and apply to machine learning intern jobs?
You can find and apply to machine learning intern jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your skills and research interests, then apply directly to each one that fits.
See All 1,638+ Machine Learning Intern Jobs
Find roles that match your experience and apply in just a few clicks.
Find Machine Learning Intern Jobs