We provide internship placement services for international students studying in the U.S., matching them with suitable opportunities based on their individual needs. We charge a service fee to cover the costs associated with internship placement and training. Through this cooperative model, companies gain access to high-quality interns at no cost, while students gain valuable hands-on experience. Our service fees enable us to sustain operations, creating a mutually beneficial arrangement for all parties involved.
We provide students currently enrolled in top 100 U.S. universities. All candidates have completed foundational skills training and workplace readiness assessments. No internship compensation is required from the host company.
Through low-cost or no-cost internship opportunities, you can observe candidates’ on-the-job performance and strengthen your pipeline for future full-time hires.
Increase brand visibility within international student communities, as students are likely to share their internship experiences. This also adds valuable highlights to your company’s future fundraising materials.
Professional fields covered in the U.S. job market
Most of our students are from top 50 U.S. universities.
Our students are trained through real-world projects and expert mentorship.
Our students are job-ready to contribute from day one.
With a solid foundation in data science from his undergraduate studies, Gerry has developed a strong proficiency in programming languages such as Python, Java, and R, alongside robust skills in SQL and data management tools like Stata and Excel
Mark is proficient in multiple programming languages, including C, C++, Python, Go, Java, Shell, and MATLAB, making him versatile in tackling diverse computational challenges. His coursework in computer science spans critical areas such as algorithms, data structures, database systems, and high-performance computing, equipping him with a solid technical foundation.
Charm possesses strong technical skills in tools such as Advanced Excel, SQL, SPSS, Python, Tableau, Jupyter Notebook, and WordPress. Her educational background and skill set position her well for roles that require a blend of data science expertise and communication strategy.
Kate is proficient in several programming languages, including C/C++, Python, MATLAB, and Verilog. She also has experience with various specialized software tools such as AWR Software, Advanced Design System, SILVACO, Vivado Design Suite, Multisim, and OrCAD PSpice Designer. Her educational background and technical skills make her well-equipped for roles in electrical engineering.
James's technical skill set is robust, encompassing proficiency in programming languages such as C++, Java, Python, and C. Additionally, Renrui is adept with various software tools like SolidWorks, FEA, MATLAB, Simulink, Arduino, CCS, and ROS. Practical skills in hardware include milling, CNC machining, power tools usage, and circuit design and assembly.
Johnathan has amassed a range of professional experiences, including internships at Beta Fund and AXA Equitable Advisors, where he conducted equity research, market analysis, and financial modeling. His technical proficiency in tools like Excel, SQL, and Python positions him well for roles in finance and investment analysis.
Jessie possesses strong technical skills in SPSS, R, and Qualtrics, along with proficiency in the Microsoft Office Suite. Her research skills are comprehensive, encompassing survey design, data collection and analysis, experimental design, and literature review. Her research skills are comprehensive encompassing survey design, data collection and analysis, experimental design, and literature review.
Olivia has strong competencies in UX/UI and service design, including UX research and design, data visualization and analysis, user interface design, and prototyping. Proficient with tools such as Figma, various Adobe software (Photoshop, Illustrator, InDesign, Premiere Pro, After Effects, Adobe XD). Olivia is well-prepared to handle complex design projects.
We pre-screen all students based on academic background and university ranking, and do not accept candidates with significantly weak profiles. Therefore, we kindly ask you to guarantee internship acceptance for qualified students we recommend.
If a student demonstrates performance issues during the internship that are non-technical (e.g., communication, attitude), we will assist in resolving the matter directly with the student. If the issue is technical, we ask that you consider adjusting the work scope to more basic tasks such as spreadsheet management, competitor research, or data collection—ensuring the internship can still be completed in full.
Upon completion of the internship, we kindly ask for your support in signing the recommendation letter and confirming graduate school reference links (up to 10 universities per student).
Please provide the internship role details in advance, as this opportunity functions as a collaborative program. We need to include it in our resource pool before making a recommendation to students.
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