data scientist intern

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

Teradata

<div>
 
 Our Company
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 Our Internship Program
 
 
 
 Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.
 
 
 
 What You'll Do
 
 
 
 You will work on Projects Including:
 
 
 As an Agentic AI Engineer intern at Teradata, you&rsquo;ll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications.
 
 
 You will:
 
 
 <ul>
 <li>
 Design and write high-performing and scalable software for training models.
 </li>
 <li>
 Craft and implement techniques to improve the performance and results of our training cycles, both on the SFT and the RL.
 </li>
 <li>
 Supporting agent management, evaluating open-source frameworks, and implementing logical data models and memory support.
 </li>
 <li>
 Contributing to low-code/no-code agent construction and the integration of external data sources for complex use cases.
 
 
 </li>
 </ul>
 
 Who You'll Work With
 
 
 
 Join Forces with the Best. Collaborate with a talented team of AI architects, ML engineers, and domain experts in Silicon Valley, all working together to advance the future of enterprise AI. Work closely with infrastructure teams to scale AI workloads globally. This is a rare opportunity to shape cutting-edge AI capabilities within a dynamic, data-driven company, where innovation thrives, and your ideas help define the next generation of data interaction.
 
 
 
 What Makes You a Qualified Candidate
 
 
 
 <ul>
 <li>
 Pursuing a Bachelor&rsquo;s, Master&rsquo;s, or PhD degree in Computer Science, Electrical Engineering, or a related field.
 </li>
 <li>
 Expert in ML and fine-tuning large language models.
 </li>
 <li>
 Proficiency in Python and related ML frameworks such as JAX, Pytorch, and XLA/MLIR.
 </li>
 <li>
 Familiar with state-of-the-art techniques for preparing AI training data.
 
 
 </li>
 </ul>
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Experience with post-training the models to reach SOTA-level performance.
 </li>
 <li>
 Familiar with designing and implementing large-scale model training frameworks.
 </li>
 <li>
 Collaborating with pre-training, reasoning, data, multimodal, applied, and product efforts to push the frontiers of model capability.
 
 
 </li>
 </ul>
 Pay Rate: $29. 00 - $44. 00 - $50. 00 Hourly
 
 
 
 Why We Think You'll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
 
 
 
 
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

AI Engineer Intern

Comcast

<div>Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. 
Job Summary
Comcast&rsquo;s Drexel Co-op Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 6-month immersive experience places students at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you&rsquo;ll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path.
Job Description<div><div>
Your experience will include:</div><div><ul><li>
Hands-On Learning &amp; Impactful Work: Tackle real business challenges, collaborate across teams, and contribute ideas that drive results from day one.</li></ul></div><div><ul><li>
Community, Connection &amp; Giving Back: Build meaningful relationships through social events, peer engagement, and shared experiences. You&rsquo;ll also have the opportunity to give back through Team UP, Comcast&rsquo;s volunteer initiative, deepening your connection to both your community and your fellow students.</li></ul></div><div><ul><li>
Mentorship &amp; Support: Receive guidance from experienced professionals through our dedicated mentorship program, helping you navigate your co-op and beyond.</li></ul></div><div><ul><li>
Professional Development: Participate in a custom onboarding experience, a curated learning series, and networking events designed to help you build new skills, explore career paths, and gain insights from professionals from across the organization.</li></ul></div><div>
At Comcast, we&rsquo;re committed to investing in the next generation of innovators and leaders. Our Co-op Program is a transformative experience designed to help you grow, connect, and take the next step in your professional journey.</div><div> 
Organization &amp; Team Overview</div><div>
Enterprise Business Intelligence is a center of excellence comprised of Engineers, Analysts, Scientists, and Machine Learning experts working to translate Comcast&rsquo;s data into actionable intelligence that drives profitable growth for the company. As a member of this team, you&rsquo;ll be at the forefront of developing data driven strategies to address business problems.</div><div> 
Role Description</div><div>
Responsible for extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse &ldquo;big data&rdquo; sources to generate actionable insights and solutions for client services and product enhancement.
The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Works independently with minimal-to-no supervision while also demonstrating the ability to lead projects and initiatives autonomously.</div><div> 
What are some interesting problems the student will work on?</div></div><div><div>
In your role you will develop predictive models that power systems and provide insights to business leaders for critical decisions. You will measure and quantify the impact of business strategies on key business performance indicators.</div><div>
Where can this student make an impact?</div><div>
You will be working on exciting new technology that interjects AI and Machine Learning capabilities into core business processes to drive profitable growth for the company.</div><div>
Job Responsibilities</div><div>
Responsibilities include but are not limited to:
</div><div><ul><li>Interacts with product and service teams to identify questions and issues for data analysis and experiments.</li></ul></div><div><ul><li>
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.</li></ul></div><div><ul><li>
Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).</li></ul></div><div><ul><li>
Develops and executes statistical and mathematical solutions to business problems to support larger initiatives under the direction of senior team members.</li></ul></div><div><ul><li>
Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.</li></ul></div><div><ul><li>
Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data.</li></ul></div><div><ul><li>
Develops and deploys predictive models based on historical data that provide future predictions about customer behavior.</li></ul></div><div><ul><li>
Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.</li></ul></div><div><ul><li>
Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.</li></ul></div><div><ul><li>
Creates deliverables and presentations that report methodology and results of analysis.</li></ul></div><div><ul><li>
Builds customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data.</li></ul></div><div><ul><li>
Consistent exercise of independent judgment and discretion in matters of significance.</li></ul></div><div><ul><li>
Other duties and responsibilities as assigned.</li></ul></div></div><div><div> 
Preferred Skills</div><div><ul><li>
Proficiency with Python, PySpark, and ML programming frameworks</li></ul></div><div><ul><li>
Proficiency retrieving data using SQL</li></ul></div><div><ul><li>
Understanding of statistical foundations for Experimentation</li></ul></div><div><ul><li>
Understanding of predictive modeling concepts</li></ul></div><div><ul><li>
Ability to articulate complex ideas in a simplified form</li></ul></div><div><ul><li>
Understanding of data visualization concepts and programming frameworks</li></ul></div><div><ul><li>
Preferred Majors: Data Science, Statistics, Mathematics, Econometrics</li></ul></div><div> 
Minimum Qualifications and Eligibility Requirements</div><div><ul><li>
Currently pursuing a bachelor&rsquo;s degree from Drexel University, with a cooperative learning track.</li></ul></div><div><ul><li>
Available to work 40 hours per week for 6 months starting September 22, 2026, through March 26, 2027.</li></ul></div><div><ul><li>
Authorized to work in the United States with no current or future sponsorship needs</li></ul></div><div><ul><li>
Available to report in-person to the work location on the job posting</li></ul></div></div>
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. 
Skills:
Relationship Building; Professional Etiquette; Accountability; Teamwork; Resilience; Communication 
Salary:
Base Pay: $32.00 
 
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. 
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That&rsquo;s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. 
Relevant Work Experience
0-2 Years</div>

Comcast Data Scientist Co-op

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. 
 
Key job responsibilities 
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services. 
 
A day in the life 
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually 
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Embrace Technologies Private Limited

We&rsquo;re Hiring: Data Scientist (4+ Years Experience) On-Site - Gulberg Greens, Islamabad - PakistanJob SummaryWe are looking for a Data Scientist who can go beyond reporting and help drive real business decisions using data.This role requires someone who is comfortable working with large datasets, building models where needed, and clearly communicating insights to both technical and non-technical stakeholders.Key Responsibilities<ul><li>Analyze datasets to identify trends, patterns, and actionable insights</li><li>Build and validate statistical and predictive models</li><li>Write and optimize complex SQL queries</li><li>Work with business teams to translate requirements into data solutions</li><li>Present findings in a clear and structured manner to support decision-making</li></ul>Requirements<ul><li>4+ years of experience in Data Science or Data Analytics</li><li>Strong proficiency in:</li></ul>Python (pandas, NumPy, scikit-learn or similar) SQL (joins, aggregations, performance optimization)<ul><li>Solid understanding of:</li></ul>Statistics and data modeling Data cleaning and validation<ul><li>Strong communication skills with the ability to explain insights clearly</li></ul>Preferred Qualifications<ul><li>Experience with:</li><li>Machine learning models in production</li><li>Data visualization tools (Power BI, Tableau, etc.)</li><li>A/B testing or experimentation</li></ul>Work Environment<ul><li>On-site role (no remote option)</li><li>Collaborative team environment with cross-functional interaction</li></ul>How to ApplyApply through Indeed and include:<ul><li>Updated CV</li><li>Examples of projects or work demonstrating data-driven insights (if available)</li><li>Fill out this form with further details</li></ul>https://docs.google.com/forms/d/e/1FAIpQLSf0rYCvDTev4nx6QF2xjSpQVb9VlrCBNkA62L8QwJ6K6jgWyw/viewformKeywords: Data Scientist, Python, SQL, Data Analytics, Machine Learning, Statistics, Data ModelingJob Type: Full-timeWork Location: In person

Data Scientist

AR5 Labs

AI Engineering Intern &mdash; AR5 LabsRemote | InternshipABOUT AR5 LABSAR5 Labs builds AI-powered automation tools for data analytics. Our flagship product, PlotStudio AI, is a desktop analytics platform where specialized AI agents collaborate through a multi-stage pipeline to deliver the kind of analysis a senior data scientist would produce, complete with code, visualizations, statistical rigor, and executive-grade narrative. Think Cursor, but for data analytics.Product: https://www.plotstudio.ai/LinkedIn: https://www.linkedin.com/company/ar5-labs/ABOUT THE ROLEWe're looking for an AI Engineering Intern to help build and improve the AI agent pipeline behind PlotStudio AI.This is not a research internship. You'll work on production AI systems: prompt engineering, agent orchestration, model evaluation, and the infrastructure that makes multi-agent workflows reliable. You'll see how AI agents are actually built, tested, and shipped to real users.You'll work directly with the founder and the AI/ML team. The codebase is small enough that your contributions will ship to production quickly, and complex enough that you'll learn how a real multi-agent system works from the inside.If you're a student who wants to build AI systems, not just study them, this is the role.RESPONSIBILITIES- Help design, test, and iterate on prompts for PlotStudio's multi-agent pipeline (routing, planning, coding, interpretation agents)- Build evaluation scripts to benchmark agent output quality across different datasets and question types- Run experiments comparing model performance (GPT-4.1, GPT-5.1, Claude, Gemini) on specific analytical tasks- Help improve agent self-correction logic: how the system detects errors, retries, and adjusts its approach- Work on domain skill modules that inject specialized knowledge (finance, healthcare, econometrics) into the agent pipeline- Build internal tooling for tracking agent accuracy, token usage, and failure modes- Help extend the agent orchestration layer (built with LangGraph) to support new workflow types- Document prompt versions, experiment results, and engineering decisions as you goQUALIFICATIONSRequired:- Currently pursuing a degree in Computer Science, Data Science, AI/ML, or a related field (rising sophomore, junior, or senior)- Comfortable writing Python. You should be able to read, write, and debug code independently- Basic understanding of how LLMs work: prompts, tokens, context windows, temperature- Genuine interest in AI agents, not just chatbots. You should have an opinion on why single-prompt AI falls short for complex tasks- Willingness to experiment, break things, and iterate quickly- Self-directed and comfortable asking questions when you're stuck- Able to commit 15-20 hours per weekNice to have:- Experience using the OpenAI API, Anthropic API, or any LLM SDK- Familiarity with LangChain, LangGraph, CrewAI, or any agent framework- Personal projects involving LLMs, prompt engineering, or AI agents- Coursework in machine learning, NLP, or statistics- Familiarity with Git and version control- Experience with FastAPI, Flask, or any Python backend framework- Understanding of statistical methods (regression, hypothesis testing, time series)WHAT YOU'LL LEARN- How a production multi-agent system is built: routing, planning, execution, self-correction, and interpretation agents working in sequence- Prompt engineering at a level most people never see: versioned prompts, domain-aware injection, structured output parsing, and quality gates between agents- How to evaluate AI systems beyond vibes: building benchmarks, measuring accuracy, tracking regressions across prompt versions- How to ship AI to real users in a small, fast-moving teamWHY THIS INTERNSHIP- You'll work on a real multi-agent AI system, not a tutorial project- Small team means high visibility and direct mentorship from the founder- Your work will ship to production and be used by real customers- You'll have something concrete for your resume: &quot;I helped build and evaluate the AI agent pipeline for a production analytics platform&quot;MUST HAVEWe are across the United States and Canada. Must be a citizen of either country.HOW TO APPLYFollow our LinkedIn page and DM us directly, or email us:1. A short intro about yourself2. Your resume or LinkedIn profile3. What year you're in and what you're studying4. Why you want to work at AR5 LabsEmail: plotstudio@ar5labs.comLinkedIn: https://www.linkedin.com/company/ar5-labs/Pay: $20.00 - $45.00 per hourWork Location: Remote

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 &nbsp;
 
 
 
 
 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&amp;mdash;and rapidly growing.
 
 
 
 
 &nbsp;
 
 
 
 
 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.
 
 
 
 
 &nbsp;
 
 
 
 
 
 
 Our Values
 
 
 
 
 
 
 
 
 Take the Lead
 
 
 
 We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
 
 
 
 
 
 Move Fast
 
 
 
 We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
 
 
 
 
 
 Better Together
 
 
 
 We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
 
 
 
 
 
 Real Talk
 
 
 
 We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
 
 
 
 
 
 Safety First
 
 
 
 We act with integrity, transparency, and consistency so people feel safe&amp;mdash;whether they're swiping, matching, or working alongside us.
 
 
 
 
 
 Spark Fun
 
 
 
 We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.
 
 
 
 
 
 
 
 
 
 
 Program Duration
 
 
 
 
 
 The internship program will run from June 1 through August 28, 2026.
 
 
 
 
 &nbsp;
 
 
 
 
 Where you&rsquo;ll work
 
 
 
 
 
 This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California.
 
 
 
 
 &nbsp;
 
 
 
 
 About the Role
 
 
 
 
 
 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.
 
 
 
 
 &nbsp;
 
 
 
 
 
 
 What you'll do:
 
 
 <li>
 Gain real-world experience on exciting challenges to improve the user experience
 </li>
 
 <li>
 Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue.&nbsp;&nbsp;
 </li>
 
 <li>
 Experience the ML model formulation of production problem under the guidance
 </li>
 
 <li>
 Work closely with a Senior Engineers to develop machine learning solutions to further Tinder&rsquo;s business goals
 </li>
 
 <li>
 Participate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives.&nbsp;
 </li>
 
 
 
 
 
 What we're looking for:
 
 
 <li>
 Aspiring ML Engineer who&rsquo;s excited to work on large scale challenges with cutting-edge technology
 </li>
 
 <li>
 Practical knowledge of how to build efficient end-to-end ML workflows
 </li>
 
 <li>
 Proficient in Python.&nbsp;
 </li>
 
 <li>
 Hands-on experience in designing and building ML models
 </li>
 
 <li>
 Foundational knowledge of basic Computer Science principles: data structures and algorithms.&nbsp;
 </li>
 
 <li>
 Currently pursuing a BS/BA or MS in Computer Science or a related field.&nbsp;
 </li>
 
 
 
 
 
 Nice to have:
 
 
 <li>
 Publications in top ML or data science conferences (e.g., NeurIPS, ICML, RecSys, KDD)
 </li>
 
 <li>
 Experience deploying ML models in production environments
 </li>
 
 <li>
 Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras
 </li>
 
 <li>
 Experience with Databricks, Spark, or Airflow
 </li>
 
 <li>
 Proficiency in additional programming languages like Go, Java or Scala
 </li>
 
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 &nbsp;
 
 
 
 
 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;
 
 
 https://www.lifeattinder.com/dei
 
 
 
 
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 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.
 
 
 
 
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 #Tinder
 
 
 
 
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 The compensation range listed above is representative of the hourly rate offered.
 
 
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 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.
 
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