Назад
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13 дней назад

Intern - Machine Learning Ops

32 - 42$
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

Текст:
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TL;DR
Intern - Machine Learning Ops (AI/Robotics): Building and deploying machine learning systems that improve the health, reliability, and performance of an autonomous robot fleet with an accent on deployment pipelines, edge infrastructure, and robotic monitoring. Focus on optimizing ONNX and TensorRT rollouts, building data and evaluation pipelines, and developing diagnostics and alerting for large-scale robotic operations.

Location: Wilmington, Massachusetts, USA — headquarters. Summer term from May to August. Up to 10% travel may be required, including travel to client locations and company headquarters. Transportation and housing benefits may be available for students who meet relocation requirements.

Salary: $32.00–$41.80 per hour, plus benefits including medical, dental, vision, disability coverage, 401(k), and PTO.

Company

hirify.global develops AI-powered robotics and software platforms for high-density warehouse automation and supply chain operations.

What you will do

  • Build and scale software platforms supporting autonomous robotic capabilities.
  • Collaborate with machine learning research and development teams to prepare models for production deployment.
  • Optimize robotic fleet deployment pipelines from merge requests through testing and rollout using ONNX, TensorRT, and custom hardware.
  • Maintain edge computing infrastructure for real-time performance and reliability.
  • Build pipelines for dataset curation, labeling, training, validation, and evaluation metrics.
  • Develop simulation, diagnostics, monitoring, and alerting capabilities for robotic system evaluation and fleet scale-up.

Requirements

  • Pursuing a PhD or master’s degree in a related field.
  • Coursework or project experience in computer science, software engineering, robotics engineering, machine learning, or a related technical discipline.
  • Proficiency in Python or C++ and the ability to deliver working code.
  • Experience with cloud infrastructure or services, including Google Cloud Platform or Microsoft Azure.
  • Experience with complex data systems, including storage, telemetry, camera, or sensor data.
  • Familiarity with machine learning deployment technologies such as ONNX, TensorRT, Docker, or edge computing platforms.

Nice to have

  • Experience improving compilation architectures or Docker Compose configurations for machine learning performance and shared hardware utilization.

Culture & Benefits

  • Mentorship, professional development, networking, and community-building events for interns and co-ops.
  • Transportation and housing benefits may be available for eligible students meeting relocation requirements.
  • Medical, dental, vision, disability, 401(k), PTO, and other benefits are included in the compensation package.
  • Cross-functional collaboration with machine learning, software, hardware, perception, and operations teams.
  • Business travel expenses are reimbursed according to program guidelines.

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