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2 months ago

Machine Learning Engineer (AI)

165 000 - 200 000$
Work format
hybrid
Work type
fulltime
Grade
middle
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Machine Learning Engineer (AI): Turning machine learning research into production-ready software for AI-enabled radar and sensing systems, with an accent on real-time, maintainable ML implementations and scalable ML infrastructure. Focus on deploying and maintaining AI workloads across edge, near-edge, and cloud environments, including building AI agents and LLM-powered applications.

Location: Hybrid in Burlington, MA

Salary: $165,000 - $200,000

Company

hirify.global develops AI-enabled radar and sensing systems for real-world situational awareness.

What you will do

  • Partner with Data Scientists to convert research algorithms into robust, production-quality software.
  • Implement machine learning algorithms in high-performance C++ and Python with a focus on maintainability, scalability, and real-time performance.
  • Build and improve ML infrastructure, tooling, and training pipelines to accelerate experimentation and model development.
  • Design and implement AI agents, agentic workflows, and LLM-powered applications.
  • Deploy and maintain AI workloads across edge, near-edge, and cloud environments.
  • Collaborate across engineering and research teams to transition prototypes into production systems.

Requirements

  • Work authorization: legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance.
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field.
  • Strong hands-on programming experience in C++ and Python.
  • 3-5 years of experience developing and deploying machine learning systems in production environments.
  • Experience building AI agents, LLM-based applications, or intelligent automation systems.
  • Excellent written and verbal communication and collaboration skills.

Culture & Benefits

  • Hybrid work in Burlington, MA (not fully remote).
  • Engineering-heavy ML role focused on productionizing algorithms and building ML infrastructure.
  • Close collaboration with Data Scientists to bridge research and deployment.
  • Compensation range of $165,000 - $200,000 based on experience level.

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