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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 projects, and work with technologies powering real-world solutions within F5's digital ecosystem, focusing on AI and machine learning.
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 your learning.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related field.
- 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).
- Must be willing to relocate to Seattle, WA or San Jose, CA if not currently based in one of these locations.
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 of thoughts
- Active listening
- Growth Mindset
- Continuous learning
- Professional development
- 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
- Retrieval-driven AI applications
- LangChain
- LlamaIndex
- Vector search technologies
- Fine-tuning approaches (LoRA/PEFT)
- ML experimentation tools (MLflow or Weights & Biases)
- Containers
- DevOps
- 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
- Airflow
Location
- Seattle, WA
Work Type
- Hybrid work environment
Experience Level
- Entry-level
Education Level
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related field.
Salary/Compensations
- $126,700.00 - $190,100.00
Benefits
- Competitive salary commensurate with experience and market conditions
- 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 within the F5 Digital organization
- 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 obsess over how to make the lives of our customers, and their customers, better.
- 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.