Software Development Engineer (AI) Intern

F5 • Seattle, WA

1d • $24 - $52 • Hybrid

About The Position

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. Position Summary Are you a curious, motivated student in Computer Science ready to make an impact? Join F5’s Summer Internship Program and dive into hands-on projects that power real-world solutions. As a Software Development Engineer (AI) Intern, you will collaborate with talented engineers, design and build scalable systems, and explore technologies that keep the digital world safe. Whether your passion is backend development, DevOps, or learning new tools, you’ll take on meaningful challenges, sharpen your skills, and make your mark at F5. Eligibility: This internship is open to students pursuing their bachelor’s or master’s degree at an accredited college or university in the US, planning to graduate between December 2026 and June 2027. Our interns (and their potential subsequent full-time role) are required to be based in one of our US hub locations where you can experience a hybrid working environment. Interns will be based in Seattle, WA or San Jose, CA based on team placement. This role will be Seattle, WA based and interns are expected to relocate if not currently in one of those areas. The ideal candidate will be able to: Contribute to real-world projects and the development cycle of products that meet team goals. Work with peers to design, implement, and test code in a collaborative environment. Help analyze requirements, test features, and integrate components into applications. Assist with creating technical documentation for designs and new features. Participate in design and code reviews to learn best practices and ensure quality. Collaborate with your project team to explore and develop data-driven solutions. Knowledge, Skills and Abilities: Technical Curiosity: You’re eager to apply your programming knowledge, learn new languages and tools, and grow your technical skill set. Problem-Solving Mindset: You can think critically, use data to make decisions, and aren’t afraid to ask questions when faced with challenges. Adaptability & Initiative: You’re willing to take on new challenges, contribute ideas, and adapt as projects evolve. Team Player: You enjoy working with others, exchanging ideas, and supporting your peers to achieve common goals. Strong Communicator: You can share your thoughts clearly, listen actively, and value different perspectives on the team.

Requirements

• In the process of completing a bachelor’s or master’s degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or related fields.
• Must have at least one additional quarter/semester of school remaining following the completion of the internship.
• Be enrolled in an accredited college or university in the United States.
• Demonstrated programming experience in Python (preferred) or Java/C++/Go, including building APIs/services, writing tests (pytest/JUnit), and using Git in a collaborative codebase.
• Hands-on exposure to machine learning and deep learning concepts and tooling, such as PyTorch (preferred) or TensorFlow/JAX, including training/inference workflows and basic model evaluation.
• Familiarity with modern LLM tooling and patterns, such as Hugging Face Transformers, prompt engineering, and retrieval-augmented generation concepts (embeddings + search).
• Exposure to data handling for ML, including common formats and pipelines (e.g., Parquet, basic ETL, and data quality checks).
• Demonstrated knowledge in computer science fundamentals (e.g., data structures and algorithms).
• Must be willing to relocate to Seatle, WA for the internship and for a subsequent full-time role upon graduation, if offered.

Nice To Haves

• Experience with API development (e.g., FastAPI/Flask, REST/gRPC) and backend fundamentals (auth, pagination, error handling).
• Experience implementing retrieval-driven AI applications using LangChain/LlamaIndex and vector search technologies (e.g., pgvector, Pinecone, Milvus, Weaviate).
• Familiarity with fine-tuning approaches (e.g., LoRA/PEFT) and/or ML experimentation tools (MLflow or Weights & Biases).
• Exposure to containers and modern DevOps: Docker, Kubernetes basics, CI/CD (e.g., GitHub Actions, GitLab CI).
• Observability basics: logging/metrics/tracing (e.g., OpenTelemetry, Prometheus/Grafana concepts).
• Bonus for distributed/data tooling used in ML workloads: Spark, Ray, Kafka, or Airflow.

Responsibilities

• Contribute to real-world projects and the development cycle of products that meet team goals.
• Work with peers to design, implement, and test code in a collaborative environment.
• Help analyze requirements, test features, and integrate components into applications.
• Assist with creating technical documentation for designs and new features.
• Participate in design and code reviews to learn best practices and ensure quality.
• Collaborate with your project team to explore and develop data-driven solutions.

Benefits

• Training & Mentoring: Develop your skills with comprehensive training and support from experienced mentors.
• Wellness Weekends: Enjoy additional days off for rest and rejuvenation.
• Continuous Learning: Embrace daily learning opportunities with autonomy and responsibility.
• Intern Week: Gather with company leaders, fellow interns, and future colleagues for a fun and interactive week of events to celebrate interns and prepare you for a future at F5.
• Path to Permanency: Excel in your internship and return to a full-time role in the same location after graduation!

What This Job Offers

• Career Level: Intern