Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$121к-219к/год
$180к$210кмедиана$250к
По похожим ролям (49) ~ $210к/год
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Крутая вакансия
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Чётко очерченная senior-роль в крупной облачной и edge-платформе сочетает production AI, оптимизацию моделей и безопасность, а обязанности и инструменты описаны предметно.
Современные ML-инструменты
Понятные задачи
Инфраструктура для AI
?Только США
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Senior Software Engineer (AI) (PyTorch/TensorFlow/JAX): Building model validation, security scanning, optimization, guardrail, routing, and evaluation systems for AI models deployed at global scale with an accent on quantization, inference performance, and responsible AI. Focus on detecting vulnerabilities, reducing model footprint and latency, mitigating prompt injection and jailbreaking, and measuring accuracy, performance, and safety across the model lifecycle.
Location: United States; remote workplace in the country advertised
Salary: $121,400–$218,600/year for US-based candidates; compensation outside the US varies.
Company
hirify.global powers and protects digital experiences through a distributed cloud-to-edge compute platform.
What you will do
Develop and maintain model validation and security-scanning pipelines covering model quality, correctness, and vulnerabilities before deployment.
Implement quantization, pruning, and other optimization techniques to reduce model footprint and inference latency across diverse hardware.
Build guardrails and content-safety systems addressing compliance, jailbreaking, prompt injection, and related risks.
Design model-routing and prompt-management infrastructure for intelligent request handling across model variants.
Contribute to evaluation frameworks measuring accuracy, performance, and safety throughout the model lifecycle.
Requirements
At least 5 years of relevant experience and a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
Hands-on experience with PyTorch, TensorFlow, or JAX, including model training, fine-tuning, and inference optimization.
Proficiency in model quantization techniques including GPTQ, AWQ, and GGUF, with an understanding of their impact on accuracy and latency.
Experience with large language models, transformer architectures, and multimodal 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.
Nice to have
Experience with containerized deployments, CI/CD practices, and cloud infrastructure.
Culture & Benefits
Permanent FlexBase flexibility allows eligible employees to work from home, the office, or both in the advertised country.
Benefits include healthcare, a 401K savings plan, company holidays, PTO, sick time, parental leave, and an employee assistance program focused on mental and financial wellness.
Additional compensation may include annual bonuses or incentives, equity awards, and an Employee Stock Purchase Plan.
Growth opportunities are provided within a collaborative, innovative, and globally oriented environment.
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