Senior Software Engineer

🕒 Março 24

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

💵 $121.400 - $218.600 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Akamai Technologies

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

🔒 Cibersegurança

💰 Post-IPO Equity em 2001-07

Cloud Computing • Cybersecurity • Content Delivery

A Akamai Technologies é um provedor líder de serviços em nuvem especializado em oferecer soluções de segurança, computação em nuvem e entrega de conteúdo. A empresa oferece uma gama de serviços, como segurança de API, proteção contra DDoS e otimização de desempenho para aplicativos web, garantindo experiências de usuário seguras e confiáveis. Com uma infraestrutura global robusta, a Akamai capacita empresas a otimizar sua presença digital, protegendo contra diversas ameaças cibernéticas e melhorando o desempenho de aplicativos.

Descrição

• 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

🎯 Requisitos

• 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)

🏖️ Benefícios

• 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