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Senior Machine Learning Engineer (AI)

82 300 - 220 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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

Senior Machine Learning Engineer (AI): Designing and implementing machine learning and AI tools for diverse R&D projects with an accent on generative AI, predictive maintenance, and bioinformatics. Focus on optimizing AI model performance, applying deep learning for complex visualization, and developing scalable data-intelligence systems.

Location: Cambridge, MA. Must be able to obtain and maintain a government security clearance.

Salary: $82,300 - $220,000

Company

hirify.global is an independent, nonprofit research and development company tackling national challenges in military defense, space exploration, and biomedical engineering.

What you will do

  • Design and develop AI models to meet specific project requirements.
  • Analyze and improve the performance of AI and machine learning models.
  • Apply deep learning technologies to enable computers to visualize and respond to complex situations.
  • Collaborate with departments and customers to define requirements and solve business problems.
  • Conduct independent and team-based research in various AI domains.
  • Identify operational improvements and communicate challenges to leadership.

Requirements

  • Bachelor's degree in Computer Science, ML, Statistics, Mathematics, EE, Computational Biology, Physics, or a related field (Master's preferred).
  • 5-7 years of professional experience in machine learning or artificial intelligence.
  • Strong software development skills in Python, MATLAB, R, C++, or Java.
  • Experience with version control systems such as Git.
  • Ability to obtain and maintain a government security clearance (Secret preferred).
  • Excellent analytical, mathematical, and problem-solving skills.

Culture & Benefits

  • Programs supporting work-life balance and workplace flexibility.
  • Diverse employee clubs, including photography and yoga.
  • Health and finance workshops.
  • Off-site social events and discounts to local museums and cultural activities.
  • Collaborative, multidisciplinary research environment.

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