data engineer

data scientist

ai/ml modeling engineer ii (intern)- united states Jobs in San Francisco

2026 phd scientist intern (competitive intelligence) Jobs in San Francisco

ai/machine learning engineer intern Jobs in San Francisco

ai/machine learning engineer intern

data science intern

Tatari

<div>
 Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world&rsquo;s fastest growing brands including
 
 Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V
 
 ., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
 
 
 That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual
 
 MarTech Breakthrough Awards
 
 , as well as honors from
 
 Digiday
 
 (Best Connected TV Platform),
 
 AdExchanger
 
 (Most Innovative TV Advertising Technology), and
 
 Business Insider
 
 (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by
 
 Inc. Magazine
 
 . Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
 
 
 We&rsquo;re looking for a full-time data scientist intern to join us for the summer of 2026. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality, scalable and automated solutions for a diverse set of challenging data problems. Under the guidance of our Senior Data Scientists, you will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up, and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology teams to provide profound insights from your analysis, and optimize our business, with the ultimate goal of helping Tatari redefine the TV ad buying experience.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Explore and build data science solutions (e.g., advanced analytics, algorithms, or models) to support measurement or optimization of TV advertising performance
 </li>
 <li>
 Analyze large datasets to generate insights that improve product features or drive better outcomes for clients
 </li>
 <li>
 Collaborate with Data Science and cross-functional partners (Engineering, Product, and Client Services) to gather requirements, review results, and deliver on project goals
 </li>
 <li>
 Present findings and recommendations clearly to technical and non-technical stakeholders across the company
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Currently enrolled in a graduate program in any of the named fields (Data Science, Statistics, Computer Science, Mathematics, Physics, or other STEM field)
 </li>
 <li>
 You are eligible to work full-time from late-May through early August.
 </li>
 <li>
 You have not yet graduated, and you will be continuing with school after this internship
 </li>
 <li>
 Strong interest in designing, and developing analytics and predictive modeling
 </li>
 <li>
 Experience with or interest in Data Manipulation Software (e.g., SQL, Python, Pandas)
 </li>
 <li>
 A quick learner, with the ability to work independently in a fast-paced environment; adaptability and a strong self-teaching ethic are highly valued
 </li>
 <li>
 Strong strategic thinking capabilities
 </li>
 <li>
 Interest to learn to manipulate, analyze, and interpret large amounts of data and to organize findings and translate into actionable insights using original or innovative techniques
 </li>
 <li>
 Knowledge of statistics and probability, particularly their application in systems analysis and operations research
 </li>
 <li>
 Nice to have: experience building and optimizing machine learning models
 </li>
 <li>
 Nice to have: experience with collaborate software engineering use git/GitHub
 
 
 </li>
 </ul>
 
 Benefits + Perks:
 
 
 
 <ul>
 <li>
 Competitive salary ($35.00 - $45.00 hourly)
 </li>
 <li>
 You can pick where you want to be for the summer: San Francisco, Los Angeles, and New York City!
 </li>
 <li>
 Hybrid schedule: 2-3 days per week
 </li>
 <li>
 Snacks, drinks, and catered lunches at the office
 </li>
 <li>
 Team building events
 
 
 </li>
 </ul>
 At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
 
 
</div>

Data Science, Intern

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. More than 20 million knowledge workers, 1,600 educational institutions, and 1 million employers &mdash; including 100% of the Fortune 50 &mdash; trust Handshake to power career discovery, hiring, and upskilling. From freelance AI training gigs to first internships to full-time careers and beyond, we connect talent with opportunity at every stage.
 
 
 This unique position in the ecosystem is driving exceptional growth &mdash; in 2025, we tripled ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how careers evolve in the AI economy at global scale, with visible real-world impact
 </li>
 <li>
 Work directly with leading AI labs, Fortune 500 partners, and top educational institutions
 </li>
 <li>
 Help build a rapidly scaling business on a path toward multi-billion-dollar revenue
 
 
 </li>
 </ul>
 
 The Role
 
 
 
 As a
 
 AI/Machine Learning Engineering Intern
 
 , you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.
 
 
 You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.
 
 
 This is a paid, full-time summer internship with two cohort options:
 
 
 <ul>
 <li>
 May 18 &ndash; August 7, 2026
 </li>
 <li>
 June 15 &ndash; September 4, 2026
 
 
 </li>
 </ul>
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Partner with senior engineers and data scientists to develop machine learning models that improve user experience
 </li>
 <li>
 Build Agentic pipelines/workflows to improve the Handshake student/employer user experience
 </li>
 <li>
 Contribute to experimentation, model evaluation, and performance monitoring
 </li>
 <li>
 Participate in technical discussions, brainstorming sessions, and team reviews
 </li>
 <li>
 Document methodologies and findings to support knowledge sharing and long-term system improvements
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 
 Must Haves
 
 
 
 <ul>
 <li>
 Are currently pursuing a degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 Have strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Have exposure to software engineering best practices (version control, testing, code reviews)
 </li>
 <li>
 Have familiarity with data analysis techniques and experience with SQL
 </li>
 <li>
 Have strong problem-solving skills and the ability to work in a collaborative team environment
 </li>
 <li>
 Have strong communication skills and are able to explain technical concepts effectively
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with cloud platforms such as AWS, Google Cloud, or Azure
 </li>
 <li>
 Experience with modern coding tools like Cursor/Claude code/Codex
 </li>
 <li>
 Prior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systems
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 Handshake provides benefits that help you feel supported and thrive at work and in life.
 
 
 (The below benefits apply to US-based interns.)
 
 
 <ul>
 <li>
 💰 Competitive hourly compensation
 </li>
 <li>
 📚 Mentorship and hands-on learning from experienced ML engineers
 </li>
 <li>
 💻 5 days/week in-office experience
 </li>
 <li>
 🤝 Structured intern programming and team events
 
 
 </li>
 </ul>
 Explore our mission, values, and open roles at
 
 joinhandshake.com/careers
 
 .
 
 
</div>

AI/Machine Learning Engineer Intern

Uber

<div>We're looking for PhD candidates to work with the Competitive Intelligence Team as a Scientist intern during summer 2026 (12 weeks). As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of an analyst on that team, and will have the opportunity to partner closely with Scientists, Software Engineers, Product Managers, and other cross-functional partners.
 
 
About the Role
 
 
The Competitive Intelligence team works to understand the strategy and performance of Uber and other companies with similar products through a combination of external and internal data. Uber operates in a diverse array of markets and product categories filled with rapidly evolving competing options; assessing the success or failure of a product or strategy depends on understanding this context. Doing this, and doing it well, is an interesting and challenging problem. The team uses its data analysis, statistical modeling, economics, and business expertise to build scalable data products and ship actionable insights.
 
 
We are looking for candidates passionate about solving new and difficult problems with data. You will build out and own competitive metrics/models, provide key insights, conduct deep dive analysis to understand new opportunities and empower teams to make more informed business and strategy decisions with competitive intelligence.
 
 
What You'll Do
<ul><li>Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
</li><li>Work with engineers and product managers to turn prototypes into scalable solutions
</li><li>Present findings to leaders to inform decisions
</li><li>Establish standard methodologies for science such as modeling, coding, analytics, optimization, and experimentation
</li></ul>Basic Qualifications
<ul><li>Pursuing a Ph.D. majoring in Statistics, Machine Learning, Economics, or other related quantitative fields
</li><li>Candidates should have at least one semester/quarter left of their education after finishing the internship
</li><li>Strong problem-solving and analytical abilities
</li></ul>Preferred Qualifications
<ul><li>Coding proficiency in areas such as R, Spark, SQL, Python
</li><li>Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)
</li><li>Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, stochastic processes, economics, and analytics
</li><li>Experience in the following areas: Exploratory Data Analysis, Statistical Analysis, ML Model Development, Competitive Intelligence, Causal Inference, Operations Management, Transportation
</li><li>0-2 years of prior work experience in an analytical setting
</li><li>Organized, detail-oriented and able to work independently on multiple projects at once
</li><li>Ability to communicate effectively with both technical and business partners
</li><li>Open to feedback, excellent at implementing newly learned ideas and concepts
</li><li>Research mentality with a bias towards action to structure a project from idea to prototype to implementation
</li>Independence, self-starter mindset, excellent communication, and outstanding follow-through - you energetically tackle your work and love the responsibility of being individually empowered 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Scientist Intern (Competitive Intelligence)

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 
 
 Our Global Security team is at the forefront of this mission, ensuring the safety of our community and the integrity of our operations across all lines of business, including ride-sharing and our world-class micromobility networks.
 
 
 As a leader in transportation, Lyft powers millions of rides daily across over 200 cities. Our Global Security team safeguards this ecosystem by conducting complex investigations, implementing mitigation strategies, and maintaining robust partnerships with law enforcement. We are looking for a Global Security Investigations Analyst Intern to join our team in the San Francisco office and provide the data-driven insights necessary to protect our people, assets, and reputation.
 
 
 The Global Security Investigations Analyst Intern will report directly to a Global Security Investigations Manager while working in close daily collaboration with other Global Security Investigators. This role is pivotal in bridging the gap between raw investigative data and actionable intelligence. You will be responsible for triaging incoming leads, identifying emerging threat patterns, and supporting high-priority investigations that impact Lyft&rsquo;s global footprint.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Triage and Analysis: Serve as a member of the team responding to investigative leads, triaging and identifying potential risks to Lyft&rsquo;s business units, including Risk, Community Safety, Payment, Identity, and Integrity (PII) and Flexdrive.
 </li>
 <li>
 Investigative Support: Collaborate directly with Global Security Investigators to provide analytical support on complex cases related to organized crime, fraud, trust &amp; safety and internal threats.
 </li>
 <li>
 Data Intelligence: Analyze large datasets to identify trends in organized theft and security breaches, leveraging SQL and scripting to automate data collection and generate insights.
 </li>
 <li>
 Reporting: Build detailed investigating tooling to support investigative automation and efficiency using analytical software.
 </li>
 <li>
 Cross-Functional Collaboration: Build strong relationships with internal partners in Legal, Policy, Fraud, Trust &amp; Safety, and Operations to drive mitigation solutions for identified gaps and risks.
 </li>
 <li>
 Case Management: Utilize case management, internal tools &amp; apps and ticketing systems (e.g., Jira) to track, prioritize, and manage the lifecycle of multiple concurrent investigations.
 </li>
 <li>
 Program Support: Assist with Global Security and Executive Protection programs on an as-needed basis to ensure comprehensive organizational safety.
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 Education: Currently pursuing a Bachelor's or Master&rsquo;s degree in Geographic Information Systems (GIS), Data Science or Data Analytics, Criminal Justice, International Relations, or a related field with a graduation date between December 2026 and Summer 2027 (required).
 </li>
 <li>
 Analytical Expertise: Proven experience in data analysis, root cause analysis, and recommending deterrent enhancements.
 </li>
 <li>
 Technical Proficiency: Strong familiarity with databases (SQL) and basic proficiency in scripting languages (e.g., Python) to analyze data and automate repetitive tasks.
 </li>
 <li>
 Communication: Outstanding written, verbal, and electronic communication skills, with the ability to present complex data to audiences of varying seniority.
 </li>
 <li>
 Investigative Mindset: A creative problem solver who can work autonomously and make independent decisions within a broad procedural framework.
 </li>
 <li>
 Adaptability: Ability to thrive in a fast-paced and ambiguous environment and manage multiple priorities with consistency and reliability.
 </li>
 <li>
 Integrity: Highest level of integrity and experience in the management of highly confidential and sensitive information.
 
 
 </li>
 </ul>
 Benefits:
 
 
 <ul>
 <li>
 Great medical, dental, and vision insurance options
 </li>
 <li>
 Mental health benefits
 </li>
 <li>
 In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
 </li>
 <li>
 401(k) plan to help save for your future
 </li>
 <li>
 Subsidized commuter benefits
 </li>
 <li>
 Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
 
 
 </li>
 </ul>
 
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 
 
 
 
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office in San Francisco, California on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers.
 
 
 
 
 The expected base pay range for this position in the San Francisco Bay Area is $33-$37/hour. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
 
</div>

Global Security Investigations Analyst Intern (Summer 2026)

Cisco

<div>
 Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
 
 
 Applications are accepted until further notice.
 
 
 
 Meet the Team
 
 
 
 Join a dynamic team of engineers and data scientists focused on building the next generation of intelligent systems. We work at the intersection of software engineering and machine learning, developing scalable pipelines and models that power Cisco&rsquo;s vast ecosystem. Our team thrives on collaboration, innovation, and the drive to turn complex data into seamless user experiences.
 
 
 
 Your Impact
 
 
 
 As an AI/ML Modeling Engineer Intern, you will apply your foundational knowledge of computer science and mathematics to solve real-world challenges. You will work closely with senior engineers to support the machine learning lifecycle, from data acquisition and cleaning to model testing and deployment. This role offers the opportunity to gain hands-on experience with production-grade AI tools while contributing to projects that impact millions of users worldwide.
 
 
 <ul>
 <li>
 Support Model Development: Assist in the design, implementation, and testing of machine learning models to solve specific business or technical problems.
 </li>
 <li>
 Data Pipeline Engineering: Help build and maintain data preprocessing pipelines to ensure high-quality input for training and evaluation.
 </li>
 <li>
 Performance Evaluation: Conduct experiments to measure model accuracy and efficiency, using standard metrics to document and report findings.
 </li>
 <li>
 Collaborative Engineering: Work within an agile environment, participating in code reviews and contributing to the team&rsquo;s shared codebase and technical documentation.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Data Science, Statistics, Electrical Engineering, or a related technical field.
 </li>
 <li>
 Strong foundational knowledge of programming languages such as Python, Java, or C++.
 </li>
 <li>
 Basic understanding of core machine learning concepts, including supervised and unsupervised learning, regression, and classification.
 </li>
 <li>
 Solid mathematical background in linear algebra, calculus, and probability/statistics.
 </li>
 <li>
 Experience using standard data analysis libraries such as NumPy, pandas, or Matplotlib through coursework or personal projects.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Familiarity with version control systems like Git and collaborative development environments.
 </li>
 <li>
 Basic knowledge of SQL and experience working with relational databases or structured data.
 </li>
 <li>
 Previous experience with Jupyter Notebooks for data exploration and visualization.
 </li>
 <li>
 Strong problem-solving skills and a passion for staying current with emerging AI and software engineering trends.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
 
 
 Message to applicants applying to work in the U.S. and/or Canada:
 
 
 Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
 
 
 U.S. employees are offered benefits, subject to Cisco&rsquo;s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
 
 
 U.S. employees are eligible for paid time away as described below, subject to Cisco&rsquo;s policies:
 
 
 <ul>
 <li>
 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
 </li>
 <li>
 1 paid day off for employee&rsquo;s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
 </li>
 <li>
 Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
 </li>
 <li>
 Exempt employees participate in Cisco&rsquo;s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
 </li>
 <li>
 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
 </li>
 <li>
 Additional paid time away may be requested to deal with critical or emergency issues for family members
 </li>
 <li>
 Optional 10 paid days per full calendar year to volunteer
 
 
 </li>
 </ul>
 For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco&rsquo;s policies.
 
 
 Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows
 
 
 <ul>
 <li>
 .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
 </li>
 <li>
 1.5% of incentive target for each 1% of attainment between 50% and 75%;
 </li>
 <li>
 1% of incentive target for each 1% of attainment between 75% and 100%; and
 </li>
 <li>
 Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
 
 
 </li>
 </ul>
 For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 
 
 The applicable full salary ranges for this position, by specific state, are listed below:
 
 
 
 New York City Metro Area
 
 
 
 $44,000.00 - $185,000.00
 
 
 
 Non-Metro New York State &amp; Washington State
 
 
 
 $44,000.00 - $185,000.00
 
 
 <ul>
 <li>
 For quota-based sales roles on Cisco&rsquo;s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
 </li>
 <li>
 Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
 </li>
 </ul>
</div>

AI/ML Modeling Engineer II (Intern)- United States

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
 
Applications are accepted until further notice.
 
Meet the Team
 
Join a dynamic team of engineers and data scientists focused on building the next generation of intelligent systems. We work at the intersection of software engineering and machine learning, developing scalable pipelines and models that power Cisco’s vast ecosystem. Our team thrives on collaboration, innovation, and the drive to turn complex data into seamless user experiences.
 
Your Impact
 
As an AI/ML Modeling Engineer Intern, you will apply your foundational knowledge of computer science and mathematics to solve real-world challenges. You will work closely with senior engineers to support the machine learning lifecycle, from data acquisition and cleaning to model testing and deployment. This role offers the opportunity to gain hands-on experience with production-grade AI tools while contributing to projects that impact millions of users worldwide.
 
<ul>
<li>Support Model Development: Assist in the design, implementation, and testing of machine learning models to solve specific business or technical problems.</li>
<li>Data Pipeline Engineering: Help build and maintain data preprocessing pipelines to ensure high-quality input for training and evaluation.</li>
<li>Performance Evaluation: Conduct experiments to measure model accuracy and efficiency, using standard metrics to document and report findings.</li>
<li>Collaborative Engineering: Work within an agile environment, participating in code reviews and contributing to the team’s shared codebase and technical documentation.</li>
</ul>
Minimum Qualifications
 
<ul>
<li>Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Data Science, Statistics, Electrical Engineering, or a related technical field.</li>
<li>Strong foundational knowledge of programming languages such as Python, Java, or C++.</li>
<li>Basic understanding of core machine learning concepts, including supervised and unsupervised learning, regression, and classification.</li>
<li>Solid mathematical background in linear algebra, calculus, and probability/statistics.</li>
<li>Experience using standard data analysis libraries such as NumPy, pandas, or Matplotlib through coursework or personal projects.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.</li>
<li>Familiarity with version control systems like Git and collaborative development environments.</li>
<li>Basic knowledge of SQL and experience working with relational databases or structured data.</li>
<li>Previous experience with Jupyter Notebooks for data exploration and visualization.</li>
<li>Strong problem-solving skills and a passion for staying current with emerging AI and software engineering trends.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.
 
Message to applicants applying to work in the U.S. and/or Canada:
 
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
 
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
 
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
 
<ul>
<li>10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees</li>
<li>1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco</li>
<li>Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees</li>
<li>Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)</li>
<li>80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next</li>
<li>Additional paid time away may be requested to deal with critical or emergency issues for family members</li>
<li>Optional 10 paid days per full calendar year to volunteer</li>
</ul>
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
 
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
 
<ul>
<li>.75% of incentive target for each 1% of revenue attainment up to 50% of quota;</li>
<li>1.5% of incentive target for each 1% of attainment between 50% and 75%;</li>
<li>1% of incentive target for each 1% of attainment between 75% and 100%; and</li>
<li>Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.</li>
</ul>
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 
The applicable full salary ranges for this position, by specific state, are listed below:
 
New York City Metro Area: 
$44,000.00 - $185,000.00Non-Metro New York state& Washington state:
 $44,000.00 - $185,000.00* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
 ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
About Futureforce University Recruiting
Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.
<div><div><div><div><div><div><div>Job Category
</div></div></div></div></div></div></div>Fixed Term &amp; Temporary
<div><div><div><div><div><div><div>Job Details
</div></div></div></div></div></div></div>About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<h2 class="jobSectionHeader">Role Overview 
</h2> 
Are you a data storyteller who is curious about how the world&rsquo;s leading companies win the race for top talent? As a Recruiting Analytics Intern , you will sit at the intersection of high-level strategy and deep-dive analytics.
 
In this role, you won't just report on the past&mdash;you will identify the future. You will analyze complex datasets to uncover competitive opportunities that strengthen our global talent strategy.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Data Exploration: Analyze large, diverse datasets to identify trends, patterns, and competitive &quot;blind spots.&quot;
</li><li>Tool Utilization: Gather and validate market data using external Competitive Intelligence platforms and labor market tools.
</li><li>Visual Design: Build and maintain interactive visualizations to communicate strategic insights effectively.
</li><li>Actionable Insights &amp; Executive Storytelling: Synthesize complex data into clear, actionable recommendations. Work with cross-functional teams to ensure data accuracy and stay aligned with broader business goals. Create executive-ready summaries.
</li></ul><h2 class="jobSectionHeader">Requirements
</h2><ul><li>Education: Currently pursuing an Undergraduate degree (May 2027 or May 2028 expected graduation date) in Data Science, Business Analytics, or a related quantitative field.
</li><li>Analytical Mindset: A natural curiosity for &quot;the why&quot; behind the numbers and a high degree of patience when working with large, complex datasets.
</li><li>Communication: Exceptional ability to turn data into a compelling narrative for a variety of audiences.
</li><li>Strategic Interest: A genuine interest in talent strategy, workforce analytics, &amp; familiarity with AI tools &amp; applying them to business and people operations
</li></ul><h2 class="jobSectionHeader">Nice-to-Have Qualifications
</h2><ul><li>Technical Foundations: Proficiency in Excel (Pivot Tables, complex formulas); familiarity with SQL, Tableau or Python is a significant plus. 
</li></ul><h2 class="jobSectionHeader"> 
Summer 2026 Internship Dates:
</h2>GROUP 1: May 18 - Aug 7th
 
GROUP 2: June 1 - Aug 21st
 
GROUP 3: June 15 - Sep 4th
 
 
This position is ineligible for visa sponsorship. This posting will close on March 10th, 2026.
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
<div><div><div><div><div><div><div>Accommodations
</div></div></div></div></div></div></div>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
<div><div><div><div><div><div><div>Posting Statement
</div></div></div></div></div></div></div>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $26 - $32 per hour.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

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