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2 месяца назад

Machine Learning Engineer (LLMs)

180 000 - 225 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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