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4 дня назад

Applied Machine Learning Engineer

160 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
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
Applied Machine Learning Engineer (AI/ML): Developing, fine-tuning, and operationalizing machine learning models and customer-facing AI applications with an accent on proof-of-concepts, model enablement, and scalable deployment. Focus on building end-to-end applications, optimizing inference performance, and integrating LLM and generative AI systems for enterprise customers.

Location: San Mateo or New York, United States

Salary: $160,000–$180,000 per year

Company

hirify.global provides a platform for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.

What you will do

  • Build and present AI technology demonstrations and proof-of-concepts for customers.
  • Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
  • Contribute platform features, resolve bugs, and enable new machine learning models.
  • Improve the performance, efficiency, and scalability of deployed models and applications.
  • Work with customers from early engagements through proof-of-concepts and production deployments.

Requirements

  • Master’s degree in Computer Science, Engineering, or a related technical field, completed recently or expected before the start date.
  • Strong skills working with AI coding harnesses.
  • Practical software engineering experience from internships, research, open-source contributions, or substantial personal projects.
  • Hands-on experience building with LLMs or other machine learning models.
  • Strong interpersonal and communication skills, with an interest in working directly with customers.
  • Comfort with ambiguity and a fast-moving environment.

Nice to have

  • Experience fine-tuning models with supervised fine-tuning, RLHF, or RFT.
  • Experience shipping full-stack or agentic applications end to end.
  • Understanding of generative AI, machine learning principles, and cloud or enterprise infrastructure.
  • Familiarity with inference serving, evaluation, or RAG systems.

Culture & Benefits

  • Mentorship from a senior engineer and a structured ramp-up program.
  • Opportunities to work on AI infrastructure, low-latency inference, and scalable model serving.
  • Collaboration with engineers and AI researchers on production AI technology.
  • Work in a fast-moving environment with significant ownership and customer impact.

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