deep learning intern

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface technologies. Our projects leverage deep learning, generative models, and representation learning to decode and interpret brain activity. With our foundation in both established and cutting-edge AI infrastructure, our mission is to bridge the gap between AI and neuroimaging, driving innovation that&rsquo;s not only revolutionary but also accessible, transparent, and privacy-focused.
We are looking for a motivated and skilled machine learning intern to join our dynamic Brain &amp; AI team for 3 to 6 months. This role focuses on developing AI models that enhance our understanding of neural mechanisms building encoding and decoding models and apply this knowledge to real-world applications such as brain computer interfaces. You will be instrumental in pushing the boundaries of what&rsquo;s possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today.
Responsibilities<ul><li>
Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives.</li><li>
Collaborate closely with data scientists to pioneer research in generative modeling and representation learning.</li><li>
Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability.</li><li>
Maintain high standards of code quality, organization, and automatization across all projects.</li><li>
Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs.</li><li>
Write and revise papers, communicate and disseminate results.</li></ul><ul><li>
Degree and currently involved in a PhD program in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.</li><li>
1+ years of experience of working in industry or research.</li><li>
Programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch.</li><li>
Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling.</li><li>
Scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions and support claims.</li><li>
Managing unstructured datasets with strong analytical skills.</li><li>
Project management and organizational skills.</li><li>
Proven ability to support and collaborate with cross-functional teams in a dynamic environment.</li></ul>
Preferred Qualifications:<ul><li>
Research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.</li><li>
Scientific publications in AI and neuroscience conferences or peer reviewed journals</li><li>
Familiarity with deep learning libraries such as Pytorch, Huggingface, Transformers, Accelerator and Diffuser.</li><li>
Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs.</li><li>
Experience with data and model visualization tools.</li><li>
Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, ecc).</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Machine Learning Engineer Intern (100% Remote Worldwide)

Costco Wholesale

<div>Overview:

Costco IT is responsible for the technical future of Costco Wholesale, the third largest retailer in the world with wholesale operations in fourteen countries. Despite our size and explosive international expansion, we continue to provide a family, employee centric atmosphere in which our employees thrive and succeed.
This is an environment unlike anything in the high-tech world and the secret of Costco&rsquo;s success is its culture. The value Costco puts on its employees is well documented in articles from a variety of publishers including Bloomberg and Forbes. Our employees and our members come FIRST. Costco is well known for its generosity and community service and has won many awards for its philanthropy. The company joins with its employees to take an active role in volunteering by sponsoring many opportunities to help others.<div>
Come join the Costco Wholesale IT family. Costco IT is a dynamic, fast-paced environment, working through exciting transformation efforts. We are building the next generation retail environment where you will be surrounded by dedicated and highly professional employees.</div><div></div><div> 
The Costco Digital Services Division is inviting students currently enrolled in an IT or related undergraduate or graduate program at a college or university to participate in a twelve -week paid internship program during 2026. Interns will work within specific areas in Costco&rsquo;s Information Systems Division. Interns will attend presentations given by various members of Executive Management from IT and other areas of the Company. Interns will be responsible for their own travel and accommodation expenses. Housing is not provided. The program runs mid June to early September and is located in Issaquah, WA. No out of state work allowed. All interns will adhere to the CDS hybrid work model of three days onsite and two days remote.</div>
The Data Science Intern has strong knowledge of Data Science and big data tools for data extraction, transformation, modeling, visualization and storytelling will be important skills for the job. The successful candidate will be someone who enjoys storytelling with data and be enthusiastic in helping Costco make smart use of information.
NOTE: While participating in the IT Internship program, an individual will be classified as an hourly temporary employee for the duration of the program. During the program, the individual may be asked to undergo the normal interview process for a level 1 position. If the individual is offered a position, they will be converted to the employment status matching open job they were selected for. Internships last for twelve weeks. If they are not selected for a permanent position, the internship position will be complete in a maximum of twelve weeks.
ROLE<ul><li>
Works with stakeholders to identify solutions that support their business requirements.</li><li>
Works independently and within a team environment.</li><li>
Pays attention to detail, self motivated with the ability to follow instructions and completes assignments on time.</li><li>
Learns and applies new concepts, processes, and tools.</li><li>
Takes initiative to solve problems and multi-tasks by prioritizing projects and deadlines.</li><li>
Communicates effectively with team members, stakeholders, and all levels of management.</li><li>
Designs and builds ML/DL models to solve business problems.</li><li>
Preliminary skills in SQL, PySpark, Python, Machine Learning / Deep Learning.
</li><li>Expertise with at least one data visualization tool, preference: PowerBI
</li><li>Communicates effectively with team members, stakeholders and all levels of management.
</li><li>Tells stories through modern visualization techniques and presents to stakeholders.</li><li>
Performs advanced data analysis to support any area of Costco&rsquo;s business.</li><li>
Builds and trains data models to solve business questions and aid decision making.</li><li>
Conducts A/B testings for DS Models and provides options to business.</li><li>
Conducts back testing to know the plan vs actual results to improve the DS Model accuracy.</li></ul><div>
Required:</div><ul><li>
Must possess excellent verbal and written communication skills.</li><li>
Possess good organizational, time, and project management skills, with the ability to prioritize, and stay well organized.</li><li>
Must be maintaining a GPA of 3.0 or higher.
</li><li>Must be students currently enrolled in an IT undergraduate or graduate program at a community college, college or university or a recent graduate.</li></ul><div>
Recommended:</div><ul><li>
Costco warehouse, Ecommerce or retail experience is a plus.</li><li>
Proficient in Google Workspace applications, including Sheets, Docs, Slides, and Gmail.</li></ul><div></div> 
Required Documents<ul><li>Cover Letter</li><li>Resume</li></ul><div></div> 
California applicants, please click here to review the Costco Applicant Privacy Notice.<div></div> 
We offer a comprehensive package of benefits including paid time off, health benefits - medical/dental/vision/hearing aid/pharmacy/behavioral health/employee assistance, health care reimbursement account, dependent care assistance plan, short-term disability and long-term disability insurance, AD&amp;D insurance, life insurance, 401(k), stock purchase plan to eligible employees.
Costco is committed to a diverse and inclusive workplace. Costco is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to IT-Recruiting@costco.com
If hired, you will be required to provide proof of authorization to work in the United States. Applicants and employees for this position will not be sponsored for work authorization, including, but not limited to H1-B visas.</div><div></div>

CDS Intern - IT Data Science

TikTok

Algorithm
 
(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Fall (BS/MS)
 
Location
 :
 
San Jose
 
Employment Type
 :
 
Intern
 
Job Code
 :
 
A216692A
 
Responsibilities
 
About the Team
 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.
 
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.
 
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.
 
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).
 
Fall Start Dates: 
August 10th, 2026
 August 24th, 2026
 September 8th, 2026
 September 21st, 2026
 
<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>
In this role, you'll have the opportunity to: 
<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
 
Minimum Qualifications: 
<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>
Preferred Qualifications: 
<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
 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 $45- $45.
 
​
 
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
 
https://tinyurl.com/RA-request

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

Boston Children's Hospital

<div><div><div><div>84642BR</div>
</div><div><div>Pediatrics-Newborn Medicine
</div></div><div>Job Posting Description
<div>General Summary: 
The fetal magnetic resonance imaging (MRI) analysis team in the Fetal-Neonatal Neuroimaging and Developmental Science Center (FNNDSC) at Boston Children&rsquo;s Hospital (BCH) seeks a full-time research assistant. Our project develops and implements novel fetal brain MRI analysis techniques and studies brain development in normal fetuses and fetuses with developmental disorders. The successful candidate, under the Principal Investigator&rsquo;s supervision, will handle MRI and demographic data management, quality control, and pre-processing, manage MRI processing pipelines, and prepare IRB/CCI documentation with the research team. 
 
Principal Duties and Responsibilities<ul><li>
Manage and verify the quality of fetal/neonatal brain MRI and demographic data, maintaining databases on a Linux-based system.</li><li>
Process large datasets using neuroimaging tools and ensure accurate results through quality assessments and improvements.</li><li>
Train, update, and evaluate deep learning models, maintaining datasets for statistical analysis.</li><li>
Mentor intern students and coordinate research activities as needed.</li><li>
Draft analytical reports and summary papers for research study publications.</li><li>
Prepare documentation for IRB and CCI, coordinating with the Principal Investigator.</li></ul>
Minimum Education and Experience 
A Bachelor&rsquo;s degree in computer science, electrical or biomedical engineering, or a related quantitative field is required. Experience with neuroimaging data is preferred. 
 
Knowledge, Skills, and Abilities<ul><li>
Experience with neuroimaging software and deep learning model implementation.</li><li>
Proficiency in Linux/Unix and at least one scripting language (e.g., Shell scripting, Python, MATLAB).</li><li>
Experience with brain MRI and knowledge of or strong interest in brain structure, neuroanatomy, and neuroscience</li><li>
Knowledge of version control systems (e.g., Git) and experience with containerized environments (e.g., Docker).</li><li>
Strong organizational skills and ability to work in interdisciplinary teams.</li></ul>
Application Instructions 
Applicants should include a resume detailing your GPA and grades for relevant coursework, research experience, and the names and contact information of three references.</div> 

</div><div>Status
<div>Full-Time</div>
</div><div>Regular, Temporary, Per Diem
<div>Regular
</div></div><div>Standard Hours per Week
<div>40
</div></div><div>Pay Range
<div>$41246.40-$61339.20 Annual</div>
</div><div>Office/Site Location
<div>Boston</div>
</div><div>Job Posting Category
<div>Research</div>
</div><div>Remote Eligibility
<div>Part Remote/Hybrid</div></div></div></div><div></div>

Clinical Research Assistant- Dr. Kiho Im Lab

Theeduassist.com

Apply Now: Send your CV to aneela@theeduassist.comSubject Line: Application &ndash; Lead Generation InternNow Hiring: Remote Intern &ndash; Lead Generation for EdTech GrowthLocation: 100% Remote Schedule: Monday to Saturday | 4 hours/day (between 9:00 AM &ndash; 4:00 PM PKT) Duration: 4 Months Stipend: None &ndash; this is an internship focused on learning and real-world experienceEligibility: Fresh graduates or current students in Business Administration, Marketing, Economics, Data Analytics, or related fieldsWhat You'll Do:<ul><li>Identify and research potential clients, schools, universities, EdTech companies, and decision-makers</li><li>Build and qualify high-quality lead lists by targeting the right job titles, company sizes, industries, and locations</li><li>Set up ongoing monitoring to capture new prospects, job changes, and company updates in the EdTech space</li><li>Conduct deep research on prospects to find warm outreach opportunities</li><li>Organize and qualify leads with clear notes and categorization</li><li>Track your lead generation progress and report weekly results</li><li>Collaborate with the team to improve targeting and support overall growth goals</li><li>Learn how effective lead generation drives revenue and partnerships in an EdTech startup</li></ul>What We&rsquo;re Looking For:<ul><li>0&ndash;1 year of experience in lead generation, sales prospecting, market research, or B2B outreach</li><li>Strong research skills and attention to detail when finding and qualifying prospects</li><li>Analytical mindset and ability to spot high-potential opportunities</li><li>Good organizational skills to manage lists, tasks, and deadlines</li><li>Ability to work independently and follow structured processes</li><li>Access to a reliable internet connection and laptop/PC</li></ul>What You'll Gain:<ul><li>Letter of Recommendation upon successful completion</li><li>Hands-on experience in professional lead generation and prospecting for real EdTech clients and partners</li><li>Mentorship from experienced sales and business development professionals</li><li>A chance to build a professional portfolio with anonymized lead sourcing examples and results</li><li>Exposure to startup growth strategies and B2B lead pipelines in the EdTech sector</li></ul>Recruitment Process:<ul><li>Interview</li><li>Issuance of offer letter</li><li>Signing of a Non-Disclosure Agreement (NDA)</li><li>Introduction to collaboration and communication tools</li><li>Task tracking and reporting structures</li></ul>Job Types: Full-time, InternshipPay: Rs0.10 - Rs0.20 per monthWork Location: Remote

Lead Generation Intern (Students / Fresh grads)-Remote

Amazon

<div>
 
 Description
 
 
 
 At Amazon, we strive to be the most customer-centric company on Earth. The Amazon University Talent Acquisition Team is looking for ambitious students to join us as Account Rep Intern in 2026. Interns may work within one of several core business areas, including:
 
 
 <ul>
 <li>
 Amazon Retail
 </li>
 <li>
 Amazon Vendor Services
 </li>
 <li>
 Amazon Merchant Services
 </li>
 <li>
 Amazon Advertising
 </li>
 <li>
 Prime Video
 </li>
 <li>
 Prime Now
 </li>
 <li>
 Amazon Fresh
 
 
 </li>
 </ul>
 Internship length will be 3 to 6 months full-time.
 
 
 Key job responsibilities
 
 
 Depending on your placement, you may support one of the following areas:
 
 
 Retail / Amazon Vendor Services
 
 
 Amazon retail teams work to help improve the selection and shopping experience for customers across our product categories, from books to fashion, electronics to grocery, movies and music to toys and health &amp; beauty, and everything in between. As a retail intern in one of those categories, you will learn how Amazon handles its e-commerce retail business.
 
 
 Support Vendor Managers in helping Amazon's most strategic brands grow their business.
 
 
 <ul>
 <li>
 Analyze category performance and customer behavior
 </li>
 <li>
 Identify opportunities to improve product selection, pricing, and availability
 </li>
 <li>
 Support vendor negotiations and retail operations
 
 
 </li>
 </ul>
 Amazon Advertising
 
 
 Amazon advertising sits at the intersection of advertising and e-commerce. Customers visit us every day to find, discover, and buy products, so we&rsquo;re obsessed with making the shopping experience the best it can be &ndash; and advertising is a part of that experience. As an intern, you&rsquo;ll gain a deep understanding of Amazon's display advertising products as well as our technical and operational capabilities.
 
 
 Work with Account Managers to deliver impactful advertising solutions.
 
 
 <ul>
 <li>
 Learn about Amazon&rsquo;s advertising products and targeting capabilities
 </li>
 <li>
 Support campaign planning, data analysis, and client presentations
 </li>
 <li>
 Contribute to improving advertising products and client outcomes
 
 
 </li>
 </ul>
 Merchant Services
 
 
 Amazon merchant services cover all third-party merchants&rsquo; activity related to selling on Amazon as well as the specific services and products we offer to help develop and grow these sellers.
 
 
 Help third-party sellers grow and succeed on Amazon.
 
 
 <ul>
 <li>
 Identify and engage high-potential merchants using market data and industry intelligence
 </li>
 <li>
 Analyze seller performance data, understanding of customer pain points, requirements, and potential value that can be delivered by advertising or merchant services to propose improvement strategies
 </li>
 <li>
 Learn the advertising or merchant services portfolio and the Amazon culture
 
 
 </li>
 </ul>
 As part of your internship, you will have the opportunity to collaborate across multiple teams, including category, product, and technical support. You will gain hands-on experience with Amazon&rsquo;s internal tools and systems while developing a strong understanding of our culture and ways of working. Throughout your project, you'll be encouraged to identify opportunities to improve internal processes, tools, and the overall customer experience.
 
 
 A day in the life
 
 
 As an intern, you will be matched to a mentor and work on a high-impact project from day one.
 
 
 
 Throughout Your Internship, You Will Also
 
 
 
 <ul>
 <li>
 Expand your professional network by engaging with Amazonians for both personal and professional development
 </li>
 <li>
 Take part in intern events. No matter the location of your internship,
 
 
 </li>
 </ul>
 we give you the tools to own your project and learn in a real-world setting
 
 
 <ul>
 <li>
 Receive ongoing feedback and development support
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 If you&rsquo;re insatiably curious and always want to learn more, then you&rsquo;ve come to the right place. Our internship program is designed to give you real-world experience while supporting your development. You&rsquo;ll work in a fast-paced, collaborative environment that values curiosity, ownership, and learning.
 
 
 Depending on your location, country, job status and other requirements, some or all the following benefits may be available to you as an intern.
 
 
 <ul>
 <li>
 Competitive pay
 </li>
 <li>
 Impactful project and internship/role deliverables
 </li>
 <li>
 Networking opportunities with fellow interns
 </li>
 <li>
 Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
 </li>
 <li>
 Mentorship and career development
 
 
 </li>
 </ul>
 If you&rsquo;re successful during your internship, you could be considered for a graduate role after finishing your university studies
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Currently enrolled in or will receive a Bachelor&rsquo;s or Master&rsquo;s Degree with a graduation date between December 2026 and June 2027
 </li>
 <li>
 Enrolled in a Bachelor&rsquo;s or Master's degree in business administration, management, economics, e-commerce, mathematics, engineering, statistics, or related field
 </li>
 <li>
 Legal right to work in Saudi Arabia
 </li>
 <li>
 Fluent written and verbal communication in English
 </li>
 <li>
 Available to commence an internship between January and December 2026. Yes, our start dates are flexible! You should then be available for 3-6 months, full time (40h/week).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Preferred qualifications are not required to apply for a position at Amazon. If you have all the basic qualifications above, we&rsquo;d love to hear from you.
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Afaq Q Tech General Trading - G11
 
 
 Job ID: A3165342
</div>

2026 Account Manager Intern

Cotiviti

<div>Overview:
<div>
The Generative AI Research Engineer Intern 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> 
We are currently looking for interns who can start in the Summer or Fall of 2026.</div>
Responsibilities:

NOTE: 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. 
Technical Expertise<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>
Communication &amp; Collaboration<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>
Leadership &amp; Management<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>
External Relationships &amp; Partnerships<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>
Other<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> 
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.
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>
Mental Requirements:</div><ul><li>
Communicating with others to exchange information.</li><li>
Assessing the accuracy, neatness, and thoroughness of the work assigned.</li></ul><div>
Physical Requirements and Working Conditions:</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> 
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> 
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

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