machine learning intern

Tinder

<div>
 <p>
  <strong>
   Our Mission
  </strong>
 </p>
 <p>
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 </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>
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  <br/>
 </p>
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  <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>
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 </p>
 <p>
  <strong>
   Program Duration
  </strong>
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  <span>
   The internship program will run from June 1 through August 28, 2026.
  </span>
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  <strong>
   Where you&rsquo;ll work
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  <span>
   This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California.
  </span>
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  &nbsp;
 </p>
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 <p>
  <strong>
   About the Role
  </strong>
 </p>
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 <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>
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  &nbsp;
 </p>
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  <p>
   <br/>
  </p>
  <strong>
   What you'll do:
  </strong>
  <br/>
  <li>
   Gain real-world experience on exciting challenges to improve the user experience
  </li>
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  <li>
   Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue.&nbsp;&nbsp;
  </li>
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  <li>
   Experience the ML model formulation of production problem under the guidance
  </li>
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  <li>
   Work closely with a Senior Engineers to develop machine learning solutions to further Tinder&rsquo;s business goals
  </li>
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  <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>
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  <li>
   Proficient in Python.&nbsp;
  </li>
  <br/>
  <li>
   Hands-on experience in designing and building ML models
  </li>
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  <li>
   Foundational knowledge of basic Computer Science principles: data structures and algorithms.&nbsp;
  </li>
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  <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>
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  <li>
   Experience with Databricks, Spark, or Airflow
  </li>
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  <li>
   Proficiency in additional programming languages like Go, Java or Scala
  </li>
  <br/>
 </p>
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 </p>
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  <span>
   Commitment to Inclusion
  </span>
 </p>
 <p>
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 </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>
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 <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>
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 <span>
  The compensation range listed above is representative of the hourly rate offered.
 </span>
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 <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

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) Research Scientist Intern (TikTok Recommendation) - 2026 Start (PhD)
<br><br>
Location
<br>:
<br><br>
San Jose
<br><br>
Employment Type
<br>:
<br><br>
Intern
<br><br>
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.
<br><br>
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.
<br><br>
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.
<br><br>
​
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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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<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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2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
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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.
<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.
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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.
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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.
<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) Research Scientist Intern (TikTok Recommendation) - 2026 Start (PhD)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!<br>
<br>
We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.<br>
<br>
You can find more information about the Amazon Science community as well as our interview process via the links below;<br>
<br>
https://www.amazon.science/<br>
<br>
https://amazon.jobs/content/en/career-programs/university/science<br>
<br>
https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science<br>
<br>
Key job responsibilities<br>
As an Applied Science Intern, you will own the design and development of end-to-end systems. You&rsquo;ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.<br>
<br>
You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon&rsquo;s customer focused culture.<br>
<br>
The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
<br>
<br>
A day in the life<br>
At Amazon, you will grow into the high impact person you know you&rsquo;re ready to be. Every day will be filled with developing new skills and achieving personal growth.<br>
<br>
How often can you say that your work changes the world? At Amazon, you&rsquo;ll say it often. Join us and define tomorrow.<br>
<br>
Some more benefits of an Amazon Science internship include;<br>
<br>
<ul><li>All of our internships offer a competitive stipend/salary</li><li>Interns are paired with an experienced manager and mentor(s)</li><li>Interns receive invitations to different events such as intern program initiatives or site events</li><li>Interns can build their professional and personal network with other Amazon Scientists</li><li>Interns can potentially publish work at top tier conferences each year</li></ul><br>
About the team<br>
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews.<br>
<br>
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.<br>
<br>
This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK).<br>
<br>
Please note these are not remote internships.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience programming in Java, C++, Python or related language</li><li>Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Have publications at top-tier peer-reviewed conferences or journals</li><li>Experience implementing algorithms using toolkits and self-developed code</li><li>Experience in solving business problems through machine learning, data mining and statistical algorithms</li></ul><br>
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.</div>

2026 Applied Scientist Intern, Amazon University Talent Acquisition

ACA Group

<div>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 The AI &amp; Data Operations Intern will support ongoing artificial intelligence and data initiatives by assisting with AI prompting, output evaluation, data labeling, and synthetic dataset generation. This role is well-suited for a detail oriented individual interested in applied AI, machine learning workflows, and data quality practices. The intern will work closely with technical and business stakeholders to help improve the reliability, usability, and performance of AI driven tools.
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Work Location** NYC OFFICE: 685 3rd Ave.: Must be able to go into the office every Wednesday
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and refine AI prompts to support various use cases and experimentation.
  </li>
  <li>
   Evaluate and review AI generated outputs for accuracy, relevance, bias, and quality.
  </li>
  <li>
   Label and annotate structured and unstructured data to support model training and evaluation.
  </li>
  <li>
   Assist in the creation and validation of synthetic datasets for testing and analysis.
  </li>
  <li>
   Document findings, evaluation results, and prompt improvements in a clear and organized manner.
  </li>
  <li>
   Follow established data handling, confidentiality, and quality standards.
  </li>
  <li>
   Collaborate with team members to support broader AI, analytics, and automation initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 <strong>
  Education, Experience, and Skills
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently pursuing a degree in computer science, data science, information systems, analytics, or a related field (or equivalent experience).
  </li>
  <li>
   Strong attention to detail and ability to follow structured guidelines.
  </li>
  <li>
   Comfort working with data, spreadsheets, and documentation.
  </li>
  <li>
   Clear written communication skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to AI tools, large language models, or prompt engineering concepts.
  </li>
  <li>
   Familiarity with data labeling, quality review, or testing workflows.
  </li>
  <li>
   Interest in machine learning, natural language processing, or applied AI use cases.
  </li>
  <li>
   Experience using collaboration or documentation tools (e.g., Excel, SharePoint, Confluence).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills And Attributes
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analytical mindset with a focus on accuracy and consistency.
  </li>
  <li>
   Ability to evaluate outputs objectively and flag issues or inconsistencies.
  </li>
  <li>
   Curiosity and willingness to learn new tools and concepts.
  </li>
  <li>
   Ability to manage tasks independently while working within defined processes.
  </li>
  <li>
   Strong organizational skills and reliability in meeting deadlines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Gain
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands on experience supporting real-world AI initiatives.
  </li>
  <li>
   Exposure to AI evaluation, data quality, and synthetic data practices.
  </li>
  <li>
   Opportunity to work alongside experienced technology and data professionals.
  </li>
  <li>
   Development of practical skills applicable to careers in AI, data, and technology.
  </li>
 </ul>
</div>


AI & Data Operations Intern

Donor Alliance, Inc.

<p></p><div><div><div><div><div><b>We want you to </b><b>help our team save more lives!</b></div>
</div>
<div><p>Named a Top Workplace for over 10+ years, Donor Alliance is driven by our core values, grounded in <i>People First</i>. Celebrating a commitment to the ideas, growth, and development of all team members in support of our mission to advance donation and transplantation efforts. With a team of bright minds united in saving and healing lives, we look forward to learning more about your unique skills and talents.</p>
</div>
<div><p><b>Data Science Intern</b></p>
</div>
<div><p>The data science intern will support a focused, project-based initiative. This internship offers a unique opportunity to apply data science and analytics in support of a nonprofit organization dedicated to saving and enhancing lives through organ and tissue donation. This position will lead or significantly contribute to a defined data science project from problem framing through solution delivery.</p></div><div><br>
<div>
</div></div><div><ul><li><div>Acquire, clean, and prepare structured and/or unstructured data from multiple sources.</div>
</li></ul>
</div><div><ul><li><div>Design, build, and evaluate machine learning or statistical models to address challenges</div>
</li></ul>
</div><div><ul><li><div>Write efficient queries and code to support data extraction and analysis</div>
</li></ul>
</div><div><ul><li><div>Deliver a final project summary, including methodology, results, and recommended next steps</div></li></ul></div><br>
<div>
</div><p></p><div><p>Here at Donor Alliance, we&rsquo;re committed to cultivating a workforce as dynamic and diverse as the community we serve. We understand that talent comes in many forms, and we look to hire individuals who bring a willingness to learn and a commitment to excellence. If this describes you, we encourage you to apply regardless of your qualifications.</p></div><div><br>
<p>
</p><p><b>Qualifications </b><b>&amp; </b><b>Ski</b><b>l</b><b>ls</b></p>
</div>
<div><ul><li><div>Current collgiate student or recent graduate within the last 2 years. Study focus within Data Science, Computer Science, Statistics, Applied Mathematics, or a related field</div>
</li></ul>
</div><div><ul><li><div>Experience with SQL for data querying and manipulation, required.</div>
</li></ul>
</div><div><ul><li><div>Foundational knowledge of machine learning and statistical modeling techniques</div>
</li></ul>
</div><div><ul><li><div>Experience with Python or similar programming languages, preferred.</div></li></ul></div><br>
<div>
<p></p><p><b>Compensation</b><b> &amp; Benefits</b></p>
</div>
<div><p>Donor Alliance has designed a robust benefits package. To learn more about these offerings, please visit https://www.donoralliance.org/who-we-are/careers/</p>
</div>
<div><ul><li><div>$24.50/hour</div>
</li></ul>
</div><div><ul><li><div>Non-exempt (eligible for overtime)</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>What </b><b>You&rsquo;ll</b><b> Gain</b></p>
</div>
<div><ul><li><div>The opportunity to contribute to a mission that saves and improves lives in your local community</div>
</li></ul>
</div><div><ul><li><div>Hands-on experience solving a real-world problem with direct organizational and human impact</div>
</li></ul>
</div><div><ul><li><div>Ownership of a project with tangible, meaningful outcomes</div>
</li></ul>
</div><div><ul><li><div>Mentorship from experienced data and analytics professionals</div>
</li></ul>
</div><div><ul><li><div>Exposure to cross-functional collaboration in a healthcare and nonprofit environment</div>
</li></ul>
</div><div><ul><li><div>A completed project that can be showcased in your professional portfolio</div></li></ul></div><p></p><div><br>
</div>
</div></div><p></p><div><div><p><i>Equal Opportunity Employer</i></p>
</div>
<div><p><b>www.donoralliance.org</b></p>
</div>
<div><p>Donor Alliance is the federally-designated, Association of Organ Procurement Organizations (AOPO) and American Association of Tissue Banks (AATB) accredited, non-profit organ procurement organization serving Colorado and most of Wyoming. As a recognized leader in facilitating the donation and recovery of transplantable organs and tissues, Donor Alliance&rsquo;s mission is to save lives through organ and tissue donation and transplantation. To achieve this mission, Donor Alliance employs effective family approach and recovery programs in more than 100 hospitals. Donor Alliance also inspires the public to register as organ and tissue donors through community partnerships, public outreach and education campaigns throughout its donation service area.</p></div></div></div><p></p>

Data Science Intern

Tjara.ca

<p><b>Data Annotation Intern</b></p><p><b>Location: Remote / Online</b></p><p><b>Type: Internship</b></p><p><b>Reporting To: Computer Vision Engineer</b></p><p><b>Compensation: Performance-based stipend</b></p><p>PCMCI Quantum is looking for a Data Annotation Intern to support our AI and computer vision projects by labeling and organizing data accurately. This role is ideal for a high school student or undergraduate student who is interested in artificial intelligence and wants to gain practical experience in a real-world project environment.</p><p>The intern will work closely with the CV Engineer and contribute to preparing high-quality datasets for model training and evaluation.</p><p><b>Responsibilities</b></p><ul><li>Annotate images, videos, and other datasets according to project guidelines</li><li>Review labeled data for accuracy and consistency</li><li>Organize and manage annotation files properly</li><li>Follow instructions provided by the CV Engineer and project team</li><li>Report issues, ambiguities, or data inconsistencies during the annotation process</li><li>Maintain quality and meet assigned targets within deadlines</li></ul><p><b>Requirements</b></p><ul><li>High school student or undergraduate student</li><li>Basic knowledge of, or interest in, Artificial Intelligence / Computer Vision</li><li>Good attention to detail and ability to follow guidelines carefully</li><li>Basic computer skills and familiarity with online tools</li><li>Must have a personal laptop or desktop</li><li>Reliable internet connection for online work</li><li>Willingness to learn and improve over time</li></ul><p>Preferred Qualities</p><ul><li>Interest in AI, machine learning, or data-related work</li><li>Ability to stay consistent while working on repetitive tasks</li><li>Good communication and reporting skills</li><li>Self-motivated and responsible in a remote work environment</li><li>What You Will Gain</li><li>Hands-on exposure to AI and computer vision workflows</li><li>Practical experience in data annotation and dataset preparation</li><li>Opportunity to work under the guidance of a CV Engineer</li><li>A flexible online internship experience</li></ul><p><b>Stipend</b></p><p>This is a performance-dependent stipend-based internship. Compensation will be based on the quality, consistency, and volume of completed work.</p><p><b>Work Mode</b></p><p>Online / Remote</p><p>Flexible working arrangement, based on assigned tasks and deliverables</p><p>Job Type: Internship<br/>Contract length: 2 months</p><p>Work Location: Remote</p>

Data Annotation Intern

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