ByteDance

About the Company

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.

We have over 110,000 employees based in more than 30 countries globally. Join us.

Listed Jobs

Company Name

ByteDance

Job Title

Frontend Software Engineer Intern (Global E-Commerce) - 2026 Summer (BS/MS)

Job Description

Job Title: Frontend Software Engineer Intern (Global E-Commerce) – 2026 Summer Role Summary: Internship in the Global E‑Commerce team focused on short‑video and live commerce platforms. Design, develop, and optimize front‑end systems that support high‑traffic e‑commerce experiences, collaborating cross‑functionally to deliver robust, scalable web applications. Expectations: - 12‑week summer internship (May–June 2026). - Commitment to full time during internship period. - Maintain valid work authorization in country of employment. - Ability to work in a fast‑moving, culturally diverse, distributed environment. Key Responsibilities: - Implement reusable, efficient front‑end components for complex e‑commerce web applications. - Optimize code for scalability, reliability, security, and performance. - Collaborate with product design, product management, and back‑end teams to deliver high‑quality user experiences. - Participate in agile development processes, contributing to sprint planning, reviews, and retrospectives. Required Skills: - Proficiency in JavaScript/TypeScript, HTML, CSS. - Experience with modern front‑end frameworks (React, Vue, or Angular). - Knowledge of build tools (Webpack, Rollup, Babel, Gulp). - Understanding of functional and asynchronous programming, closures, type systems, layout techniques, specificity, animations, cross‑browser compatibility, data security, and accessibility. - Familiarity with multi‑tier application architecture, HTTP/HTTPS, REST/GraphQL, and software development lifecycle. Required Education & Certifications: - Currently enrolled in an undergraduate or master’s program in Computer Science, Software Engineering, or a related technical discipline. - Expected graduation December 2026 or later, with intent to continue studies after internship. ---

Seattle, United states

On site

Fresher

02-12-2025

Company Name

ByteDance

Job Title

Solution Architect Project Intern (BytePlus) - 2026 Start (BS/MS)

Job Description

Job Title: Solution Architect Intern Role Summary: Internship in solution architecture focusing on the design, build, and optimization of AI agents for domains such as coding & DevOps, content creation, AI search, and tool‑use agents. Works with both low‑code and high‑code tools to deliver end‑to‑end agent solutions and conduct stakeholder workshops. Expectations: * Minimum 3‑month internship commitment * Current enrollment in or graduation from a Bachelor’s or Master’s program in Computer Science, Computer Engineering, or related field * Able to work independently in a fast‑paced, ambiguous environment * Strong communication skills in English Key Responsibilities: * Collaborate with internal and client teams to develop AI agents across multiple use cases * Prototyping and deployment of agents using low‑code platforms (e.g., Dify, Coze, n8n) and high‑code tools (e.g., Cursor, Trae) * Perform context engineering, evaluation, and prompt refinement; develop test cases and analyze failure modes * Design and implement simple SFT/CT/RL fine‑tuning experiments where applicable * Summarize reusable use cases into demo templates and lead technical workshops for internal and external audiences Required Skills: * Hands‑on experience building or optimizing AI agents (coding, DevOps, content generation, search, ReAct) * Familiarity with low‑code and high‑code AI development platforms * Basic knowledge of Supervised Fine‑Tuning (SFT), Contrastive Training (CT), or Reinforcement Learning (RL) is advantageous * Strong analytical and problem‑solving ability * Excellent written and verbal communication in English * Self‑starter mindset, proactive initiative, and ability to work autonomously Required Education & Certifications: * Pursuing or completed Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related discipline. * No specific certifications required.

London, United kingdom

On site

Fresher

07-12-2025

Company Name

ByteDance

Job Title

ASIC Design&Verification Engineer Intern(Video Silicon IP) - 2026 Summer (BS/MS)

Job Description

Job title: ASIC Design & Verification Engineer Intern (Video Silicon IP) – 2026 Summer (BS/MS) Role Summary: Full‑time 12‑week summer internship focused on designing and verifying high‑performance, low‑power video codec ASIC IP. Interns collaborate with architecture, algorithm, software, firmware, and hardware teams to develop RTL and high‑level synthesis designs, create test benches, and automate regression testing. Expectations: - Availability for a 12‑week, full‑time internship in Summer 2026 (start dates May 11, 18, 26 or June 8, 22). - Current undergraduate or master’s student in computer science, electrical engineering, or a related technical field. - Demonstrated ability to commit to full‑time work during the internship period. Key Responsibilities: 1. Design ASIC hardware for video compression and image/video processing using SystemVerilog RTL or HLS. 2. Develop and maintain test benches, simulation environments, and bug‑tracking workflows. 3. Apply UVM methodology for verification; interface with architects and ASIC/FPGA design engineers. 4. Automate regression testing and test plan execution using Python scripts. 5. Collaborate cross‑functionally to deliver reliable video codec IP while meeting performance and power targets. Required Skills: - Strong knowledge of video codec standards and algorithms. - Proficiency in RTL design (SystemVerilog) or High‑Level Synthesis (HLS). - Experience with UVM, SystemC, or DPI for verification. - Solid programming skills in Python for automation and scripting. - Understanding of computer architecture principles and ASIC design flow. Required Education & Certifications: - Pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a closely related technical discipline. - No specific certifications required.

San jose, United states

On site

Fresher

14-12-2025

Company Name

ByteDance

Job Title

Research Intern (AI Infra Compute) - 2026 Start (PhD)

Job Description

**Job Title** Research Intern – AI Infrastructure Compute **Role Summary** PhD‑level intern focusing on the design, development, and prototyping of AI infrastructure components (training platforms, inference engines, AI agent back‑ends) within a large‑scale cloud environment. Responsible for advancing key technologies, validating performance, and publishing research outcomes. **Expectations** - Full‑time research internship beginning in 2026. - Deliver end‑to‑end project work, meeting milestones and deadlines. - Regularly document and present findings in academic and internal forums. **Key Responsibilities** - Research and develop core AI infrastructure technologies (LLM training, inference, AI agent infrastructure). - Build prototypes to validate functionality and performance of new components. - Conduct experiments, benchmark results, and iterate on designs. - Contribute to technical reports, whitepapers, and conference submissions. - Collaborate with cross‑functional teams to integrate prototypes into existing cloud services. **Required Skills** - Proficient in Go and Python (Linux environment). - Strong foundation in distributed systems, high‑performance computing, and cloud infrastructure concepts. - Experience with LLM training or inference workflows, or AI agent architectures. - Ability to self‑direct projects, plan tasks, and meet delivery schedules. - Clear technical communication and teamwork capabilities. **Required Education & Certifications** - Current enrollment in a PhD program in Computer Science, Software Engineering, Computer Engineering, or a closely related technical discipline. - (No specific certifications required.)

Seattle, United states

On site

Fresher

14-12-2025