Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$180к-225к/год
$140к$170кмедиана$220к
По похожим ролям (49) ~ $170к/год
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Engineer (LLMs): Building and operating fine-tuning pipelines and production ML systems for transformer-based and multimodal models with an accent on large-scale data processing, model evaluation, and real-time deployment. Focus on optimizing model size, cost, and latency, deploying models at scale, and monitoring performance in production.
Location: United States — Remote
Salary: $180,000–$225,000 USD per year; full compensation packages are based on candidate experience and certifications.
Company
hirify.global is an early-stage AI company founded in 2022 that develops intelligent technologies using automation, machine learning, and knowledge graphs.
What you will do
Fine-tune transformer-based and multimodal models using automation pipelines and implement real-time fine-tuning pipelines in production.
Work with large datasets, perform data preprocessing, and engineer features to improve model performance.
Build frameworks for iterating and evaluating model versions by ranking, accuracy, and latency.
Collaborate with software engineers to deploy machine learning models at scale and integrate them with existing systems.
Implement real-time monitoring, maintenance, and updates for production model performance.
Collaborate with data scientists, software developers, business analysts, and other cross-functional partners while contributing to machine learning research and innovation.
Requirements
3+ years of experience in a similar role focused on developing and deploying ML models in production environments.
Proficiency in designing, developing, and operating fine-tuning pipelines in production environments.
Experience with large-scale data processing and distributed systems.
Strong programming skills in Python.
Proficiency with machine learning libraries such as PyTorch and TensorFlow.
Nice to have
Experience optimizing models for size, cost, and latency.
Startup experience.
Culture & Benefits
Remote work combined with in-person collaboration.
Early-stage equity.
Comprehensive health insurance.
Generous paid time off.
Collaboration with designers, engineers, and innovators on consumer use cases for intelligent technologies.
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