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# Machine Learning Senior Software Engineer

- **Company:** Akamai Technologies
- **Location:** Sacramento, CA, United States
- **Experience:** Expert
- **Salary:** $121,400.0 - $218,600.0
- **Contract:** Permanent contract
- **Skills:** Architectural Patterns, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Operational Databases, Tensorflow, Pytorch, Large Language Models, Model Validation, Web Filtering, Containerization, Information Technology, Low Latency, Optimization Algorithms, Machine Learning Operations
- **Published:** August 7, 2026
- **Apply:** https://dejobs.org/x/x/CCADFE6BFAAC43C793D2337DE77104A5/job/

## About the Role

* Have 5 years of relevant experience and a Bachelor's/Master's degree in Computer Science, Machine Learning, or a related field
 * Demonstrate hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX, including model training, fine-tuning, and inference optimization
 * Show proficiency in model quantization techniques (GPTQ, AWQ, GGUF) and an understanding of how model compression impacts accuracy and latency
 * Have experience working with large language models (LLMs), transformer architectures, and multi-modal AI systems
 * Demonstrate familiarity with model safety and responsible AI practices, including content filtering, red-teaming, or adversarial robustness evaluation
 * Show proficiency in Python and experience building production data or ML pipelines
 * Have experience with containerized deployments, CI/CD practices, and cloud infrastructure (not required, but suggested)

Work in a way that works for you

## Description

As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models for vulnerabilities, apply quantization and optimization techniques, and build guardrails that enforce safety and compliance policies. This role requires hands-on ML experience and deep understanding of modern architectures, inference optimization, and responsible, As a Machine Learning Senior Software Engineer, you will be responsible for:

 * Developing and maintaining model validation and security scanning pipelines that assess models for quality, correctness, and vulnerabilities prior to deployment
 * Implementing quantization, pruning, and other optimization techniques to reduce model footprint and improve inference latency across diverse hardwareconfigurations
 * Building guardrail and content safety systems that enforce compliance policies and mitigate risks such as jail breaking and prompt injection
 * Designing model routing and prompt management infrastructure that supports intelligent request handling across model variants
 * Contributing to model evaluation frameworks that measure accuracy, performance, and safety metrics across the model lifecycle


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