2 months ago
Machine Learning Engineer (AI)
165 000 - 200 000$
Match & Cover letter
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Job description
Text:
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
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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