ai research intern

Cotiviti

<div>Overview:
<div>
The <b>Generative AI Research Engineer Intern</b> conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. Creates research papers, analytical reports, proposals, and educational material. Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. Develops generative AI models, architectures, databases, and systems to improve healthcare solutions.</div><div></div><div><b><i><br>
We are currently looking for interns who can start in the Summer or Fall of 2026.</i></b></div>
Responsibilities:
<p><b><i>
NOTE:</i></b><i> </i><i>There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.</i></p><p></p><p><b><br>
Technical Expertise</b></p><ul><li>
Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.</li><li>
Assists in developing and improving LLMs and ML tools used across the organization.</li><li>
Assists in establishing and maintaining an Artificial Intelligence Governance Program.</li></ul><p><b>
Communication &amp; Collaboration</b></p><ul><li>
Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.</li><li>
Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.</li></ul><p><b>
Leadership &amp; Management</b></p><ul><li>
Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.</li><li>
Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.</li><li>
Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.</li></ul><p><b>
External Relationships &amp; Partnerships</b></p><ul><li>
Supports vendor evaluations and contributes to collaborations with vendors.</li><li>
Assists as a liaison between academic institutions, professional organizations, and research groups as needed.</li></ul><p><b>
Other</b></p><ul><li>
Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.</li><li>
Complete all responsibilities and goals outlined in the internship program.</li><li>
Complete all special projects and other duties as assigned.</li><li>
Must be able to perform duties with or without reasonable accommodation.</li></ul><p></p><p><i><br>
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti&rsquo;s needs and requirements of the internship evolve.</i></p>
Qualifications:
<ul><li>Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.</li><li>
Demonstrated interest or experience in AI, healthcare technology, or informatics research.</li><li>
Strong foundational knowledge in generative AI model development, architectures, and vector databases.</li><li>
Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.</li><li>
Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.</li><li>
Ability to work collaboratively and communicate effectively with cross-functional teams.</li></ul><div><b>
Mental Requirements:</b></div><ul><li>
Communicating with others to exchange information.</li><li>
Assessing the accuracy, neatness, and thoroughness of the work assigned.</li></ul><div><b>
Physical Requirements and Working Conditions:</b></div><ul><li>
Remaining in a stationary position, often standing or sitting for prolonged periods.</li><li>
Repeating motions that may include the wrists, hands, and/or fingers.</li><li>
Must be able to provide a dedicated, secure work area.</li><li>
Must be able to provide high-speed internet access/connectivity and office setup and maintenance.</li><li>
No adverse environmental conditions are expected.</li></ul><div>
Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.</div><div></div><div><br>
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.</div><div></div><div><br>
Date of posting: 4/24/2026</div><div>
Applications are assessed on a rolling basis. We anticipate that the application window will close on 7/24/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.</div></div><div></div>

Intern - Generative AI Research Engineer

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00097550
</div></div><div><div>Career area:
</div><div>Artificial Intelligence
</div></div><div><div>Country/Region:
</div><div>United States of America
</div></div><div><div>State:
</div><div>Illinois
</div></div><div><div>City:
</div><div>Chicago
</div></div><div><div>Date:
</div><div>Monday, April 13, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - Illinois - Chicago
</li></ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p>Lenovo is seeking a highly motivated intern to contribute to the design, development, and exploration of our next-generation AI systems. As an intern, you will have the opportunity to work on a variety of projects across the AI stack &ndash; from foundational models to intelligent applications &ndash; depending on project needs and your own interests. This is an exciting opportunity to gain hands-on experience with cutting-edge AI systems while collaborating with experienced engineers, researchers, and product teams to help advance Lenovo&rsquo;s Hybrid AI vision and make Smarter Technology for All.</p><div><div><p><b>
Responsibilities:</b></p></div><div><ul><li><p><b>
AI</b><b> </b><b>System</b><b>s Development</b><b>:</b> Assist in the design, implementation, and testing of AI-driven systems and tools.</p></li></ul></div><div><ul><li><p><b>
Agent</b><b> </b><b>and Workflow</b><b> </b><b>Design:</b> Support development of intelligent agents and task automation pipelines, including prompt engineering and context management.</p></li></ul></div><div><ul><li><p><b>
Model Training &amp; Fine-Tuning:</b> Contribute to the training or fine-tuning of models such as Large Language Models (LLMs) and multimodal models (e.g., vision, text, and speech).</p></li></ul></div><div><ul><li><p><b>
On-Device</b><b> </b><b>Performance</b><b> </b><b>Optimization:</b> Help evaluate and optimize model performance on phones, tablets, and PCs, focusing on efficiency, latency, and power usage to get the most out of device hardware.</p></li></ul></div><div><ul><li><p><b>
Knowledge Management:</b> Explore technologies like vector databases, knowledge graphs, and retrieval-augmented generation (RAG) to enhance model performance.</p></li></ul></div><div><ul><li><p><b>
Evaluation</b><b> </b><b>&amp; Analysis</b><b>:</b> Help evaluate AI models for performance, accuracy, robustness, and fairness.</p></li></ul></div><div><ul><li><p><b>
Research &amp;</b><b> </b><b>Prototyping</b><b>:</b> Stay up to date with the latest AI advancements and assist in rapid prototyping of innovative concepts.</p></li></ul></div><div><ul><li><p><b>
Collaboration</b><b> </b><b>&amp;</b><b> </b><b>Documentation:</b> Work closely with mentors and team members to document findings, share insights, and contribute to project deliverables.</p></li></ul></div><div><p><b>
Qualifications:</b></p></div><div><ul><li><p>
Currently pursuing a Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Artificial Intelligence, Electrical &amp; Computer Engineering, Data Science, or a related technical field.</p></li></ul></div><div><ul><li><p>
Strong interest in AI, machine learning, and intelligent systems.</p></li></ul></div><div><ul><li><p>
Proficiency in programming languages such as Python, C++, Java, or Kotlin.</p></li></ul></div><div><ul><li><p>
Familiarity with operating systems such as Linux, Windows, or Android</p></li></ul></div><div><ul><li><p>
Basic understanding of Machine Learning and Deep Learning principles.</p></li></ul></div></div><div><div><ul><li><p>
Exposure to AI frameworks such as PyTorch, Transformers, LangGraph, or Autogen.</p></li></ul></div><div><ul><li><p>
Curiosity, adaptability, and willingness to learn new technologies and methods.</p></li></ul></div><div><ul><li><p>
Good communication and collaboration skills.</p></li></ul></div><div><p><b>
Bonus Points:</b></p></div><div><ul><li><p>
Experience working on personal or academic AI projects (e.g., LLMs, multimodal models, chatbots).</p></li></ul></div><div><ul><li><p>
Previous internship experience in software development or AI fields.</p></li></ul></div><div><ul><li><p>
Contributions to open-source AI projects.</p></li></ul></div><div><ul><li><p>
Publications in leading AI conferences or journals.</p></li></ul></div><div><p>
#LATC</p></div></div>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - Illinois - Chicago
</li></ul></div></div><div><ul><li>United States of America
</li></ul></div><div><ul><li>United States of America - Illinois
</li></ul></div><div><ul><li>United States of America - Illinois - Chicago</li></ul></div></div></div></div></div>

AI Engineering Intern - Summer 2026

CRDF Global

<div>Job Description:<p><br>
Job Title: AI Intern</p>
<p>Location : Arlington, United States;
</p><p>Department : Information Technology
</p><p>Pay Rates : Hourly, based on location</p><br>
<p></p>
<p><b>Position Summary</b></p>
<p>We are seeking motivated and curious AI Interns to support the design, testing, and implementation of artificial intelligence initiatives across business functions. Interns will be embedded within IT and business functions to identify, scope, and build AI use cases across our Microsoft 365 ecosystem and SaaS platforms including Costpoint, Deltek Talent, Salesforce, Paycom, and Concur &mdash; gaining real-world experience on production systems from day one.</p><br>
<p></p>
<p><b>Key Responsibilities</b></p>
<ul><li>Partner with designated business function leads and IT mentors to identify, document, and prioritize artificial intelligence opportunities across Microsoft 365 (Teams, SharePoint, Outlook, Excel), Power Platform, and SaaS platforms including Costpoint, Deltek Talent, Salesforce, Paycom, and Concur</li>
<li>Conduct research on emerging AI technologies and industry best practices
</li><li>Design, test, and refine prompts and AI workflows using Microsoft 365 Copilot, Copilot Studio, OpenAI (ChatGPT), Google Gemini, Anthropic Claude, and other approved generative AI tools to augment business processes</li>
<li>Analyze data and prepare insights to support decision-making
</li><li>Document processes, solutions, and user guides for implemented automations
</li><li>Collaborate with assigned IT mentor and business function sponsor to gather requirements and validate solutions</li></ul><br>
<p></p>
<p></p><p><b>Cultural Requirements:
</b></p><ul><li>Trust</li></ul>
<p> o Must operate to the highest standards of ethics and integrity</p>
<p> o Be accountable for performance to goals and objective of the position as set by leadership
</p><p>o Be a reliable member of the team that the organization can count on
</p><ul><li>Teamwork</li></ul>
<p> o Treat all people in a respectful and supportive manner</p>
<p> o Work collaboratively with others</p>
<p> o Be flexible and adaptable to change
</p><ul><li>Communication
</li></ul><p>o Seeks to achieve shared understandings when communicating
</p><p>o Actively listens to others
</p><p>o Respects and encouraged diverse perspectives</p>
<p>o Shares information openly and willingly</p><br>
<p></p><p><b>Qualifications</b></p>
<ul><li>Currently pursuing a degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field
</li><li>Interest in AI, automation, or digital transformation
</li><li>Familiarity with Microsoft Power Platform (Power Automate, Power Apps, Power BI) is strongly preferred; experience with Python, SQL, or REST APIs is a plus</li>
<li>Strong problem-solving and analytical skills
</li><li>Excellent communication and organizational skills
</li><li>Ability to work independently and as part of a team</li></ul><br>
<p>
</p><p></p><p><b>Preferred
</b></p><ul><li>Hands-on experience with generative AI platforms such as Microsoft 365 Copilot, OpenAI (ChatGPT), Google Gemini, or Anthropic Claude in a professional or academic setting</li>
<li>Proficiency in Power BI or comparable data visualization tools; familiarity with SharePoint or Teams as a reporting and communication layer</li></ul></div><p></p>

Artificial Intelligence (AI) Intern

TikTok

Algorithm
<br><br>
(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Fall (BS/MS)
<br><br>
Location
<br>:
<br><br>
San Jose
<br><br>
Employment Type
<br>:
<br><br>
Intern
<br><br>
Job Code
<br>:
<br><br>
A216692A
<br><br>
Responsibilities
<br><br>
About the Team
<br>Recommendation algorithm 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.
<br><br>
We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
<br><br>
Internships at Our Company aims to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.
<br><br>
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Our Company and its affiliates' jobs globally. 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).
<br><br>
<b>Fall Start Dates:</b><br>
August 10th, 2026
<br>August 24th, 2026
<br>September 8th, 2026
<br>September 21st, 2026
<br><br>
<ul>
<li>This opening is part of the general hiring process for the TikTok Recommendation organization. Applications will be evaluated by multiple teams within the Recommendation organization to ensure the best alignment based on skills and interests.</li>
</ul>
<b>In this role, you'll have the opportunity to:</b><br>
<ul>
<li>Drive the development of industry-leading recommendation systems that elevate user experience, strengthen platform safety, and empower a vibrant content ecosystem.</li>
<li>Deliver impactful, end-to-end machine learning solutions that tackle high-priority product challenges related to content understanding, LLMs, robustness, and fairness.</li>
<li>Own and optimize the full-stack ML pipeline—from algorithm design to system infrastructure—to continuously push the boundaries of recommendation performance.</li>
<li>Collaborate with cross-functional teams to craft innovative product strategies and develop intelligent solutions that fuel TikTok’s growth in key global markets.</li>
</ul>
Qualifications
<br><br>
<b>Minimum Qualifications:</b><br>
<ul>
<li>Currently pursuing a Master degree with a background in computer science, machine learning, or similar fields;</li>
<li>Good knowledge of theoretical and empirical research in addressing research problems;</li>
<li>Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch,TensorFlow) and familiarity with deep neural network architectures.</li>
<li>Able to commit to working for 12 weeks during Summer 2026</li>
</ul>
<b>Preferred Qualifications:</b><br>
<ul>
<li>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;</li>
<li>Strong first-author publications record in accredited AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.);</li>
<li>Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design;</li>
<li>Internship experience in an AI research organization.</li>
</ul>
For TikTok
<br>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
<br><br>
Job Information
<br><br>
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
<br><br>
The hourly rate range for this position in the selected city is $45- $45.
<br><br>
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<br><br>
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.
<br><br>
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<br><br>
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
<br><br>
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<br><br>
<b>For Los Angeles County (unincorporated) Candidates:</b><br>
​
<br><br>
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:
<br><br>
​
<br><br>
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
<br><br>
​
<br><br>
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
<br><br>
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<br><br>
3. Exercising sound judgment.
<br><br>
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<br><br>
About TikTok
<br><br>
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.
<br><br>
​
<br><br>
Why Join Us
<br><br>
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.
<br><br>
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<br><br>
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.
<br><br>
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<br><br>
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<br><br>
Diversity & Inclusion
<br><br>
​
<br><br>
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.
<br><br>
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<br><br>
TikTok Accommodation
<br><br>
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
<br><br>
https://tinyurl.com/RA-request

(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Fall (BS/MS)

<div><div><h3 class="jobSectionHeader"><b>Who We Are</b></h3>
<p>
Gr0 is a Los Angeles-based full-service digital marketing agency built on a single premise: performance is the only metric that matters. Since our founding in 2020, we have grown into one of the most decorated and results-driven agencies in the country, offering the complete stack &mdash; GEO, SEO, paid search, paid social, link building, content, email, and creative &mdash; under one roof, tailored to brands at every stage.</p>
<h3 class="jobSectionHeader"><b>
GR0 By the Numbers</b></h3>
<p>
$1B+ generated for direct-to-consumer brands<br>
$500M+ in digital advertising managed<br>
1,200+ clients served since 2020<br>
95% average YoY growth for startup and small business clients<br>
70%+ of new clients come from existing client referrals &mdash; because the work speaks</p>
<h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p>
GR0 is hiring an Applied AI Engineering Intern to create disruptive new approaches to marketing across GEO, SEO, paid media, link building, and creative. This is not a pre-scoped internship &mdash; there is no &quot;starter project&quot; and no meetings to recap or spreadsheets to update. We are hiring someone who is obsessed with how AI is changing every facet of business, thrives on autonomy, and can walk in on day one, identify the highest-leverage bottleneck in modern marketing, and ship an AI-native system that changes how the work gets done. Someone to join our push to transform marketing forever.</p>
<h3 class="jobSectionHeader"><b>
Program Details</b></h3>
<p>
Duration: June 1, 2026 through July 31, 2026<br>
Schedule: Monday &ndash; Thursday, 8 hours/day<br>
Compensation: $45/hour</p>
</div>
<h3 class="jobSectionHeader"><b>What You'll Do:</b></h3><div>
<ul>
<li><div>Identify and attack the highest-leverage AI opportunities across GR0's service lines &mdash; from GEO visibility and LLM-optimized link building strategies to AI-automated paid media workflows and creative output modeling.</div>
</li>
<li><div>Create agentic workflows that take research to launch to iteration, with evaluation guardrails and client-facing controls.</div>
</li>
<li><div>Build functional tools and prototypes using LLM APIs (Claude, OpenAI GPT-o, Gemini) and agentic frameworks (LangChain).</div>
</li>
<li><div>Evaluate LLMs and help choose the right models for the right tasks &mdash; balancing cost, speed, and accuracy.</div>
</li>
<li><div>Get hands-on with RAG, web search integrations, and tool use (CRMs, calendars, and APIs).</div>
</li>
<li><div>Experiment with prompt frameworks and agent behaviors for real workflows like email generation, prospect research, and meeting scheduling.</div>
</li>
<li><div>Explore emerging modalities &mdash; voice AI, multi-modal reasoning, and what makes AI feel more human.</div>
</li>
<li><div>Design agent workflows that make smart decisions, self-optimize, and deliver real outcomes.</div>
</li>
<li><div>Build safety guardrails, fail-safes, and success metrics into AI systems.</div>
</li>
<li><div>Present ideas, experiments, and results to the broader team.</div>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Who You Are:</b></h3><div>
<ul>
<li><div>Currently enrolled at a college or university.</div>
</li>
<li><div>Passionate about AI, machine learning, automation, or software development.</div>
</li>
<li><div>A self-starter who loves to tinker, build, and problem-solve &mdash; you define the problem, not just execute tasks.</div>
</li>
<li><div>Comfortable with ambiguity and able to thrive in a fast-paced.</div>
</li>
<li><div>Able to collaborate across disciplines and communicate clearly to both technical and non-technical stakeholders.</div>
</li>
<li><div>Experience with Python, APIs, or AI tools is a plus &mdash; but hunger to learn matters most.</div>
</li>
<li><div>Marketing fluency is a bonus, but what really counts is your ability to translate capability into measurable outcomes and adoption.</div>
</li>
</ul></div><h3 class="jobSectionHeader"><b>What Success Looks Like:</b></h3><div>
<ul>
<li><div>A production-grade prototype or internal tool that materially improves speed, quality, or performance in at least one channel (GEO/SEO/paid/creative). &ldquo;Production-grade&rdquo; here means: documented, measured, repeatable, and adopted by the team.</div>
</li>
<li><div>A clear evaluation story (dashboards, experiments, QA checks) showing what improved and why&mdash;reflecting the &ldquo;real-world impact&rdquo; and &ldquo;real-world problem&rdquo; framing in AI internship language.</div>
</li>
<li><div>A portfolio-quality artifact: a technical write-up, internal playbook, open-source demo, or client-facing capability&mdash;consistent with the way many AI internships emphasize dissemination, publication, or durable output.</div>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Hiring Process:</b></h3><div>
<ul><li><b>Stage 1 (Recruiter Screen) </b><b>-</b> After you submit your application, our talent recruitment team will review and reach out to candidates. During this 30-minute phone call, we&rsquo;ll discuss your career journey and professional motivators while learning about GR0 overall.</li>
<li><b>Stage 2 (Hiring Manager Interview)</b> <b>-</b> You'll meet with the department lead to discuss your background, explore your experience in more detail, and share why you&rsquo;re a strong fit for the internship.</li>
<li><b>Stage 3 (Internship Extended)</b> <b>-</b> If a #GR0mance has brewed, we will extend an internship!</li>
</ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3><br>
<div>
Headquartered in Los Angeles, California, GR0 is an award-winning digital marketing agency focused exclusively on igniting organic growth for direct-to-consumer and business-to-business startups and established brands. GR0 empowers these brands to build powerful online brands using a highly technical, best-in-class approach that delivers value and experience to consumers and engagement and sales for brands.</div><div><br>
GR0&rsquo;s notable awards and achievements include:</div><div><br>
Glassdoor&rsquo;s &ldquo;Top CEOs&rdquo; (2021)</div>
<div>
Clutch&rsquo;s &ldquo;Top 100 Fastest Growing Companies&rdquo; (2022)</div>
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Comparably&rsquo;s &ldquo;Best Places to Work in Los Angeles&rdquo; (2021, 2022)</div>
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Comparably&rsquo;s &ldquo;Best Company for Career Growth&rdquo; (2021)</div>
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Built In&rsquo;s Moxie Women in Tech Awards (2021, 2022)</div>
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Great Place to Work (2021, 2022, 2023, 2024)</div>
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DotComm Awards (2023, 2024)</div>
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Power Partner's (2024)</div>
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Okendo Partner Award for Top Marketing Agency, North America (2026)</div>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Applied AI Engineering Intern (On-site - Marina Del Rey)

Algorithm
<br><br>
(General Hire) Research Scientist Intern (TikTok Recommendation) - 2026 Start (PhD)
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Location
<br>:
<br><br>
San Jose
<br><br>
Employment Type
<br>:
<br><br>
Intern
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Job Code
<br>:
<br><br>
A39768
<br><br>
Responsibilities
<br><br>
Recommendation algorithm 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.
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This opening is part of the general hiring process for the TikTok Recommendation organization. Applications will be evaluated by multiple teams within the Recommendation organization to ensure the best match based on skills and interests.
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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.
<br><br>
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.
<br><br>
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).
<br><br>
Responsibilities - What You'II Do
<br><ul>
<li>Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;</li>
<li>Deliver end-to-end machine learning solution to address critical product challenges;</li>
<li>Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.</li>
<li>Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.</li>
</ul>
Applications will be reviewed on a rolling basis. We encourage you to apply early.
<br><br>
Qualifications
<br><br>
<b>Minimum Qualifications:</b><br>
<ul>
<li>PhD degree in the field of computer science or a related technical discipline</li>
<li>Proficient coding skills and strong algorithm & data structure using C++/Python or other programming language</li>
<li>Experienced in Machine Learning, familiar with at least one DeepLearning framework, e.g. PyTorch, Tensorflow.</li>
<li>Experienced in one or more of the following areas, e.g. NLP, CV, Recommender System, and Machine Learning, etc</li>
<li>Effective communication and teamwork skills</li>
</ul>
<b>Preferred Qualifications:</b><br>
<ul>
<li>Authors of published papers in accredited academia conferences is an advantage</li>
<li>Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantage</li>
</ul>
Job Information
<br><br>
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
<br><br>
The hourly rate range for this position in the selected city is $60- $60.
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​
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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.
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The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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​
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<b>For Los Angeles County (unincorporated) Candidates:</b><br>
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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:
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​
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1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
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​
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2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
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​
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3. Exercising sound judgment.
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​
<br><br>
About TikTok
<br><br>
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.
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​
<br><br>
Why Join Us
<br><br>
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.
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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.
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<br><br>
Diversity & Inclusion
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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.
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<br><br>
TikTok Accommodation
<br><br>
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
<br><br>
https://tinyurl.com/RA-request

(General Hire) Research Scientist Intern (TikTok Recommendation) - 2026 Start (PhD)

AuraNex Solutions

<p><b>Company Description</b></p><p>AuraNex Solutions is a technology-driven company specializing in AI-powered systems, SaaS platforms, and automation solutions designed to solve real-world business challenges. Focused on innovation and efficiency, AuraNex combines modern software engineering and advanced technologies to develop scalable solutions that enhance productivity and support data-driven decision-making. The company works closely with startups and businesses to transform ideas into functional digital products, including custom software, web applications, and intelligent automation systems. With a commitment to quality and long-term collaboration, AuraNex Solutions empowers organizations to thrive in today&rsquo;s evolving digital environment.</p><p><b>Role Description</b></p><p>This is a full-time, on-site role based in Abbottabad District for an Artificial Intelligence Intern. The intern will support the design, development, and implementation of machine learning models, assist in analyzing large datasets to derive actionable insights, and collaborate with the team to create AI-driven solutions. Additional responsibilities include testing and debugging code, preparing progress reports, and contributing to innovative AI research and applications.</p><p><b>Qualifications</b></p><ul><li>Strong foundation in Computer Science and Analytical Skills</li><li>Proficiency in Data Science and familiarity with Machine Learning frameworks</li><li>Experience or coursework in Programming, with knowledge of languages such as Python, R, or Java</li><li>Ability to conduct research, experiment, and apply new AI methods</li><li>Strong problem-solving skills and attention to detail</li><li>Team-oriented mindset with effective communication and collaboration capabilities</li><li>Enthusiasm for AI technologies and innovation</li><li>Pursuing or recently completed a degree in Computer Science, Data Science, or a related field</li></ul><p>Job Types: Full-time, Internship, Fresher<br/>Contract length: 3-6 months</p><p>Work Location: Remote</p>

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