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About the Role

This entry-level Software Development Engineer (AI) position is for candidates who successfully completed the F5 Summer 2026 Internship Program and received an invitation to apply. You will collaborate with mentors, contribute to meaningful projects, and work with technologies powering real-world solutions within F5's digital ecosystem. You will explore AI and machine learning technologies, contributing to the design and development of scalable systems.

Responsibilities

Contribute to real-world projects across the full development cycle, collaborating with the team to deliver solutions that meet project goals.
Work with peers to design, implement, and test code in a collaborative environment, receiving feedback and guidance from senior engineers.
Analyze requirements, test features, and integrate components into applications with support and mentorship.
Create technical documentation for designs and new features, learning best practices in technical writing and communication.
Participate actively in design and code reviews to absorb best practices, understand quality standards, and continuously improve code quality.
Collaborate with your team to explore and develop data-driven solutions using machine learning and AI technologies.
Ask questions, seek clarification, and leverage mentorship to navigate challenges and accelerate learning.

Requirements

Successfully completed a Summer 2026 internship with F5.
Bachelor's degree or higher in Computer Science, or a related technical field graduating between December 2026 and September 2027.
Must be able to start no later than September 30th, 2027.
Must be able to work onsite in accordance with F5s policies; fully remote work options are not available.
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 of computer science fundamentals (e.g., data structures and algorithms).

Skills

Technical Curiosity
Programming knowledge
Learning new languages and tools
Problem-Solving Mindset
Critical thinking
Data-informed decision making
Adaptability & Initiative
Team Player
Collaboration
Strong Communicator
Clear articulation
Active listening
Growth Mindset
Python
Java
C++
Go
APIs/services development
Testing (pytest/JUnit)
Git
Machine learning
Deep learning
PyTorch
TensorFlow
JAX
LLM tooling
Hugging Face Transformers
Prompt engineering
Retrieval-augmented generation
Data handling for ML
Parquet
ETL
Data quality checks
Computer science fundamentals
Data structures
Algorithms
API development (FastAPI/Flask, REST/gRPC)
Backend fundamentals (auth, pagination, error handling)
Retrieval-driven AI applications
LangChain/LlamaIndex
Vector search technologies (pgvector, Pinecone, Milvus, Weaviate)
Fine-tuning approaches (LoRA/PEFT)
ML experimentation tools (MLflow or Weights & Biases)
Containers
Docker
Kubernetes basics
CI/CD (GitHub Actions, GitLab CI)
Observability basics (logging/metrics/tracing)
OpenTelemetry
Prometheus/Grafana concepts
Distributed/data tooling for ML workloads (Spark, Ray, Kafka, or Airflow)

Location

Seattle, WA

Work Type

Onsite
Hybrid

Experience Level

Entry-level

Education Level

Bachelor's degree or higher in Computer Science, or a related technical field

Salary/Compensations

$126,700.00 - $190,100.00

Benefits

Competitive salary
Comprehensive health, wellness, and retirement benefits
Professional development and continuous learning opportunities
Work-life balance benefits including flexible work arrangements
Mentorship and career growth opportunities
Access to F5's employee resource groups and community

About the Company

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.
We prioritize a diverse F5 community where each individual can thrive.

Equal Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws.
This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.
F5 offers a variety of reasonable accommodations for candidates.
Requesting an accommodation is completely voluntary.
F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job.
Request by contacting accommodations@f5.com.