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9 часов назад

Software Machine Learning Engineer (AI)

116 500 - 186 400$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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

Software Machine Learning Engineer (AI): Designing, developing, and deploying applied AI solutions with an accent on graph machine learning, reinforcement learning, and interpretable AI. Focus on building scalable ML systems that model complex engineering data relationships and optimize decision-making processes.

Location: Must be local to North Reading, MA, US; no relocation provided.

Compensation: $116,500–$186,400 base salary plus discretionary bonus.

Company

hirify.global is a global technology company driving innovation in testing and industrial automation solutions.

What you will do

  • Design and implement pipelines for training, evaluation, and deployment of ML models.
  • Apply graph ML methods to model relationships in structured and unstructured data.
  • Build and experiment with reinforcement learning algorithms for optimization tasks.
  • Incorporate interpretability and explainability techniques into ML systems.
  • Collaborate with cross-functional teams to integrate ML solutions into production.
  • Contribute to improving ML infrastructure, tooling, and best practices.

Requirements

  • Must be local to North Reading, MA, US.
  • 2+ years of experience in machine learning or applied AI.
  • Hands-on experience building and deploying ML models.
  • Master’s or Ph.D. in Computer Science, Electrical Engineering, or equivalent industry experience.
  • Strong analytical, problem-solving, and communication skills.
  • Basic understanding of software engineering practices and version control.

Nice to have

  • Experience with AI orchestration or agent frameworks like LangChain or AutoGen.
  • Exposure to production ML systems including MLOps, monitoring, and deployment.

Culture & Benefits

  • Comprehensive health and well-being programs including medical, dental, and vision.
  • Retirement savings plans and life/disability insurance.
  • Paid vacation and holidays.
  • Tuition assistance programs.
  • Inclusive culture supporting individual strengths and diverse perspectives.

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