machine learning intern

Tinder

<div>
 <p>
  <strong>
   Our Mission
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&mdash;and rapidly growing.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Program Duration
  </strong>
 </p>
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 <p>
  <span>
   The internship program will run from June 1 through August 28, 2026.
  </span>
 </p>
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 <p>
  &nbsp;
 </p>
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 <p>
  <strong>
   Where you&rsquo;ll work
  </strong>
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 <p>
  <span>
   This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California.
  </span>
 </p>
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 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <br/>
 <p>
  <span>
   The Tinder ML team drives impact across nearly every core domain of the product &amp;mdash; from Recommendations and Trust &amp; Safety to Profile, Chat, Growth, and Revenue. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder&rsquo;s ecosystem. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. In this internship program, you will collaborate with senior engineers to build and deploy ML solutions that advance Tinder&rsquo;s business goals.
  </span>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   What you'll do:
  </strong>
  <br/>
  <li>
   Gain real-world experience on exciting challenges to improve the user experience
  </li>
  <br/>
  <li>
   Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue.&nbsp;&nbsp;
  </li>
  <br/>
  <li>
   Experience the ML model formulation of production problem under the guidance
  </li>
  <br/>
  <li>
   Work closely with a Senior Engineers to develop machine learning solutions to further Tinder&rsquo;s business goals
  </li>
  <br/>
  <li>
   Participate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives.&nbsp;
  </li>
  <br/>
  <p>
   <br/>
  </p>
  <strong>
   What we're looking for:
  </strong>
  <br/>
  <li>
   Aspiring ML Engineer who&rsquo;s excited to work on large scale challenges with cutting-edge technology
  </li>
  <br/>
  <li>
   Practical knowledge of how to build efficient end-to-end ML workflows
  </li>
  <br/>
  <li>
   Proficient in Python.&nbsp;
  </li>
  <br/>
  <li>
   Hands-on experience in designing and building ML models
  </li>
  <br/>
  <li>
   Foundational knowledge of basic Computer Science principles: data structures and algorithms.&nbsp;
  </li>
  <br/>
  <li>
   Currently pursuing a BS/BA or MS in Computer Science or a related field.&nbsp;
  </li>
  <br/>
  <p>
   <br/>
  </p>
  <strong>
   Nice to have:
  </strong>
  <br/>
  <li>
   Publications in top ML or data science conferences (e.g., NeurIPS, ICML, RecSys, KDD)
  </li>
  <br/>
  <li>
   Experience deploying ML models in production environments
  </li>
  <br/>
  <li>
   Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras
  </li>
  <br/>
  <li>
   Experience with Databricks, Spark, or Airflow
  </li>
  <br/>
  <li>
   Proficiency in additional programming languages like Go, Java or Scala
  </li>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <span>
   Commitment to Inclusion
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
  </span>
  <span>
   https://www.lifeattinder.com/dei
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   #Tinder
  </em>
 </p>
 <br/>
 <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>
 <br/>
 <br/>
 <span>
  The compensation range listed above is representative of the hourly rate offered.
 </span>
 <br/>
 &nbsp;
 <br/>
 <em>
  Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 </em>
</div>


Machine Learning Engineer Intern

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to serve as a critical component of our nation&rsquo;s safety and security. Make an impact by using your expertise to protect our country from threats.</p><p>
Job Description</p><div><p>
GDIT Summer 2026 Internship - Artificial Intelligence/Machine Learning Associate Internship</p><p></p><p>
Sponsorship is not available for this role.</p><p>
At GDIT, our people are our business. We pride ourselves on the work our innovators do to support and secure some of the most complex government, defense, and intelligence projects across the world. We wouldn't be successful without our ability to attract new talent to join our team.</p><p></p><p>
What sets a GDIT internship experience apart from other organizations in the industry?</p><p>
GDIT's Summer Internship Program is designed with you in mind! Our internship provides you the opportunity to be a part of a collaborative team that is helping to solve our clients' most challenging matters. Throughout GDIT's 10-week Summer Internship Program, you will have the opportunity to do the following:</p><ul><li>
Work side-by-side with GDIT professionals delivering work for clients.</li><li>
Collaborate with a team of peers to research and propose solutions to a current business challenge.</li><li>
Participate in a mentoring circle led by an early career champion.</li></ul><ul><li>
Interact with GDIT leaders.</li><li>
Participate in professional development.</li></ul><p></p><p>
How You'll Make this Internship Opportunity Your Own</p><p>
Our Artificial Intelligence/Machine Learning Interns will work on a range of projects that ideally align with their interests. Some interns will use statistical techniques to provide insights into internal or external customer data to guide decision-making and enhance user experience. Other interns will build machine learning algorithms or work on artificial intelligence system deployments. The ideal intern will have knowledge of computer languages and their applications to enable a system to perform specific functions.</p><p></p><p>
Must Haves</p><ul><li>
Currently enrolled in an associate's, bachelor's or master's degree program in data science, computer science, IT, engineering, or other STEM field from a United States-based college or university.</li><li>
Proficiency in Python and basic SQL knowledge for data extraction and querying.</li><li>
Understanding of data preprocessing, analysis, and basic machine learning.</li><li>
Basic understanding of Microsoft Office products (e.g., Word, PowerPoint, SharePoint, Excel, and Teams).</li></ul><p></p><p>
What You'll Need to Deliver Your Best Every Day</p><ul><li>
Problem solving and interest in big data.</li><li>
Interest in data transformation, model selection, cross-validation, and deployment.</li><li>
Interest or experience with big data platform tools.</li><li>
Knowledge of statistical techniques.</li><li>
Knowledge of Python or other programming languages.</li><li>
Experience working in a collaborative team environment.</li><li>
Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology.</li><li>
Ability to effectively articulate technical challenges and solutions.</li></ul><p></p><p>
GDIT interns are paid and full-time (40 hours/week) for 10 consecutive weeks. Applicants should have a minimum of one semester remaining in their studies after their internship concludes. Take the first step and apply today!</p><p>
Note: We receive a high volume of applications and review them on a rolling basis. We encourage you to apply as soon as possible. Our goal is to follow up with you within two weeks of your application.</p><p></p><p>
#GDITInternship</p>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
0 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div><div></div><div>
Citizenship<div>
U.S. Citizenship Required</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely hourly rate for this position is between $22.95 - $31.05. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Artificial Intelligence/Machine Learning Associate Intern

Tether Operations Limited

<div><p><b><i>Join Tether and Shape the Future of Digital Finance</i></b></p><p>
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.</p><p></p><p><b><i>
Innovate with Tether</i></b></p><p><b>
Tether Finance: </b>Our innovative product suite features the world&rsquo;s most trusted stablecoin, <b>USDT</b>, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.</p><p>
But that&rsquo;s just the beginning:</p><p><b>
Tether Power: </b>Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.</p><p><b>
Tether Data: </b>Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like <b>KEET</b>, our flagship app that redefines secure and private data sharing.</p><p><b>
Tether Education</b>: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.</p><p><b>
Tether Evolution</b>: 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.</p><p></p><p><b><i>
Why Join Us?</i></b></p><p>
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.</p><p>
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.</p><p><b>
Are you ready to be part of the future?</b></p><p></p><p><b>
About the job</b></p><p>
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.</p><p></p><p>
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.</p><p></p><p><b>
Responsibilities</b></p><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><p></p><p><b>
Preferred Qualifications:</b></p><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><p></p><p><b>
Important information for candidates</b><br>
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:</p><ul><li><b>
Apply only through our official channels.</b> 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><b>
Verify the recruiter&rsquo;s identity.</b> 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><b>
Be cautious of unusual communication methods.</b> We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li><b>
Double-check email addresses.</b> All communication from us will come from emails ending in <b>@</b>tether.to<b> or @</b>tether.io</li><li><b>
We will never request payment or financial details.</b> 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><p><b>
When in doubt, feel free to reach out through our official website.</b></p></div>

Machine Learning Engineer Intern (100% Remote Worldwide)

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>
​
<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>
​
<br><br>
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
<br><br>
​
<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>
​
<br><br>
3. Exercising sound judgment.
<br><br>
​
<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>
​
<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>
​
<br><br>
​
<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>
​
<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)

Honda Research Institute USA

<div><div><div>Job Number: P25INT-50
</div><div>Honda Research Institute USA (HRI-US) is seeking a research intern to work on an exciting machine learning challenge: understanding and modeling the objectives and dynamics that drive human team behavior. Current approaches focus on predicting team performance from observed interaction. This project aims to go a step further by modeling what teams are implicitly optimizing. The intern will develop computational models to draw on techniques such as inverse reinforcement learning, preference learning, or related ML methods, to uncover the latent objectives governing team dynamics such as information sharing, participation balance, and consensus formation. The project integrates ideas from multi-agent learning, collective intelligence, and behavioral psychology, and leverages real-world multimodal datasets of small group collaboration. The expected outcome is a research contribution suitable for submission to top-tier AI conferences (e.g., NeurIPS, ICML, ICLR), with potential impact on both human-AI interaction and multi-agent systems.
</div><div>San Jose, CA</div><br>
<p></p><div><div><div><div><div><p><b>Key Responsibilities</b></p><br>
</div></div><br>
<p></p><div><div><ul><li>Develop computational models (inverse reinforcement learning (IRL) or preference learning models) to infer latent reward functions from team interaction data.</li>
<li>Design and implement theory-informed reward components inspired by collective intelligence and behavioral psychology (such as information sharing, participation balance, consensus dynamics).</li>
<li>Process and model multimodal interaction datasets, including conversational transcripts, temporal interaction signals, and computer vision features.</li>
<li>Generate and evaluate conterfactual or alternative interaction trajectories for IRL training.</li>
<li>Conduct experiments on team perfomance prediction, early outcome inference, and generalization across datasets.</li>
<li>Analyze learned reward strctures to identify distinct team strategies and behavioral patterns.</li><br>
</ul><p></p><p><b>Minimum Qualifications</b></p><br>
</div></div><br>
<p></p><div><div><ul><li>Current PhD candidate in Computer Science, Electrical Engineering, Behavioral Psychology, or a related technical field.</li>
<li>Strong programming skills in Python and experiences with deep learning frameworks.</li>
<li>Solid understanding of machine learning fundamentals, including supervised learning and model evaluation.</li>
<li>Familiarity with sequence modeling (such as RNN, Transformers) or probabilistic modeling.</li><br>
</ul><p></p><p><b>Bonus Qualifications</b>
</p><div><div><div><div><ul><li>Proven publication record with reinforcement learning, inverse reinforcement learning, imitation learning, or preference learning.</li>
<li>Background in multi-agent systems, game theory, or sequential decision-making.</li>
<li>Experience with multimodal or time-series data.</li>
<li>Familiarity with natural language processing or conversational modeling.</li>
<li>Interest in human behavior, social interaction, or computational social science.</li>
<li>Prior research experience or publications in machine learning or related areas.</li><br>
</ul></div></div><br>
</div></div><p></p><div><div><div><div><div><div><div><div><div><div><div><div><b>Years of Work Experience Required</b></div> <div>0</div>
</div><br>
<div><div><b>Desired Start Date</b></div> <div>9/8/2026</div>
</div><br>
<div><div><b>Internship Duration</b></div> <div>3 Months</div>
</div><br>
<div><div><b>Position Keywords</b></div> <div>Machine Learning, Affective Computing, Human State Sensing, Multimodal Data Analysis, Collective Intelligence</div>
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Research Intern: Affective Computing for Collective Intelligence

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>

AI Intern

<div><div><div>Job Number: P25INT-42
</div><div>Honda Research Institute USA (HRI-US) is seeking a self-motivated and independent intern to join our research team working on multimodal machine learning for egocentric perception and skill understanding. This role will focus on developing learning methods that align hand pose information with language representations, enabling fine-grained hand motion and pose cues to be more effectively incorporated into modern downstream models, including large language model-based systems. The intern will work with egocentric video and hand pose data, including data captured from wearable devices such as Meta Aria glasses, to build representations that support tasks such as error detection, temporal action segmentation, long-horizon video understanding, and skill assessment. This is a research-oriented internship with the goal of producing high-impact results suitable for publication at a top-tier conference.
</div><div>San Jose, CA</div><br>
<p></p><div><div><div><div><div><p><b>Key Responsibilities</b></p><br>
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<p></p><div><div><ul><li>Conduct literature reviews to identify relevant prior work, formulate research hypotheses, and propose promising technical directions in hand pose-language representation learning.</li>
<li>Design and implement machine learning methods for aligning hand pose, egocentric video, and language using large-scale multimodal datasets.</li>
<li>Develop or adapt hand pose encoders that learn semantically rich representations for downstream multimodal reasoning and language-conditioned tasks.</li>
<li>Investigate pretraining strategies that align structured hand motion and pose information with natural language, analogous to image-language pretraining in vision-language models.</li>
<li>Design rigorous experiments, evaluation protocols, and ablation studies to assess representation quality and downstream task performance.</li>
<li>Apply and evaluate learned representations on downstream tasks such as error detection, temporal action segmentation, action detection, long (procedural) video understanding, skill estimation, and dexterity assessment.</li>
<li>Build data processing, training, and evaluation pipelines for multimodal learning with hand pose, egocentric video, and text.</li>
<li>Analyze experimental results, synthesize technical insights, and communicate findings through internal presentations, technical reports, and research publications.</li>
<li>Collaborate closely with researchers to refine problem formulations, iterate on model designs, and identify high-impact publication opportunities (e.g., CVPR, ICCV, ICLR, ECCV, NeurIPS).</li><br>
</ul><p></p><p><b>Minimum Qualifications</b></p><br>
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<p></p><div><div><ul><li>Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.</li>
<li>Strong background in machine learning and deep learning, with hands-on experience training neural networks for representation learning or multimodal learning.</li>
<li>Proficiency in Python and deep learning frameworks such as PyTorch.</li>
<li>Demonstrated understanding of one or more of the following areas: computer vision, sequence modeling, multimodal learning, human pose modeling, action recognition, or large language models.</li>
<li>Experience designing and running empirical ML experiments, including data preprocessing, model training, evaluation, ablation studies, and model fine-tuning.</li>
<li>Familiarity with fine-tuning strategies for deep learning or foundation models in research settings.</li>
<li>Strong written and verbal communication skills, with the ability to read and implement ideas from recent research papers.</li><br>
</ul><p></p><p><b>Bonus Qualifications</b>
</p><div><div><div><div><ul><li>Research experience in egocentric video understanding, human/hand pose estimation, action recognition, temporal action segmentation, or vision-language learning.</li>
<li>Experience with video understanding tasks and human activity datasets, especially in the context of action recognition and/or action segmentation.</li>
<li>Experience working with structured motion signals such as 2D/3D key points, skeletal data, trajectories, or sensor-based representations.</li>
<li>Experience with large-scale pretraining of vision-language models (VLMs), large language models (LLMs), or fine-tuning of foundation models.</li>
<li>Familiarity with efficient fine-tuning techniques such as LoRA and adapters.</li>
<li>Familiarity with foundation models or methods for integrating non-visual modalities into language-driven systems.</li>
<li>Experience with multimodal alignment across modalities such as video, pose, and language.</li>
<li>Familiarity with 3D vision or SLAM, particularly for modeling hand or human motion in a world coordinate frame.</li>
<li>Experience with large-scale training, distributed experimentation, or multimodal dataset curation.</li>
<li>Track record of research publications in leading venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACL, or EMNLP.</li>
Interest in applying AI to human skill modeling, worker assistance, and human-centered intelligent systems.<br>
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</div></div><p></p><div><div><div><div><div><div><div><div><div><div><div><div><b>Years of Work Experience Required</b></div> <div>0</div>
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<div><div><b>Desired Start Date</b></div> <div>9/8/2026</div>
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<div><div><b>Internship Duration</b></div> <div>3 Months</div>
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<div><div><b>Position Keywords</b></div>
 <div><p>Multimodal Learning, Hand Pose Modeling, Egocentric Video Understanding,</p>
 <p>Pose-Language Alignment, Representation Learning, Large Language Models</p>
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Research Intern: Hand Pose-Language Representation Learning

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