Senior Software Engineer

🕒 March 24

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $121.4k - $218.6k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Akamai Technologies

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔒 Cybersecurity

💰 Post-IPO Equity on 2001-07

Cloud Computing • Cybersecurity • Content Delivery

Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.

📋 Description

• 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 hardware configurations • 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

🎯 Requirements

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

🏖️ Benefits

• Healthcare • 401K savings plan • Company holidays • Vacation (in the form of PTO) • Sick time • Family friendly benefits including parental leave • Employee assistance program including a focus on mental and financial wellness