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AI​/ML Development Senior Engineer

Job in Lowell, Middlesex County, Massachusetts, 01856, USA
Listing for: MACOM
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Company Overview

Headquartered in Lowell, Massachusetts, MACOM is certified to the ISO
9001 international quality standard and ISO
14001 environmental management standard. MACOM has multiple design centers, Si, GaAs and InP fabrication, manufacturing, assembly and test, and operational facilities throughout North America, Europe, Asia and Australia. In addition, MACOM offers foundry services that represent a key core competency within our business. The foundry provides access to, and control of our broad range of proprietary technologies in an asset‑light, cost‑effective structure.

MACOM sells and distributes products globally via a sales channel comprised of a direct field sales force, authorized sales representatives and leading industry distributors. Our sales team is trained across all of our products to give our customers insights into our entire portfolio.

Our global organization of skilled engineers is driven every day to solve the world’s most demanding wireless and wireline application challenges. We’re proud of our more than sixty years’ of hands‑on experience designing and building analog semiconductor technology across the RF to Light spectrum.

Job Description

MACOM is looking for an AI/ML Development Senior/Principal Engineer who will play a critical role in the design, development, and deployment of scalable and robust AI/ML solutions within MACOM. You will work with subject matter experts throughout the company to identify opportunities for AI‑implemented productivity improvement. You will develop custom AI agents and agentic workflows, custom model development and fine tuning, and AI tool integrations to solve bottlenecks, improve efficiency, and enable previously undiscovered opportunities.

This role requires demonstrated expertise and experience in AI engineering and deployed solutions. We are looking for someone with the ability to apply their expertise to solve real-world challenges in semiconductor fabrication, RF and mixed signal circuit design, manufacturing operations, and general front and back‑office operations. This is an onsite position working out of MACOM’s office located in either Lowell, MA, Durham, NC or Morgan Hill, CA.

Join us and be a champion for the adoption and deployment of AI solutions and help lead MACOM in its next chapter of technology leadership and excellence.

Key Responsibilities
  • Develop and maintain AI platform capabilities that enable scalable, secure, and reusable AI solutions across the enterprise.
  • Design and deploy agentic AI solutions and workflows that incorporate reasoning, planning, and execution to solve discrete problems in impactful ways.
  • Develop large‑scale ML model training and fine‑tuning pipelines in both on‑prem and cloud‑based infrastructures.
  • Evaluate available models to assess capability and cost tradeoffs for various applications.
  • Contribute to AI use and development standards, including safety, security and compliance.
  • Collaborate with subject matter experts throughout the company to define potential AI solutions and applications in various domains.
  • Mentor engineers and non‑technical staff, and promote best practices in AI use, agentic systems, and generative AI development.
  • Drive innovation and evaluate emerging AI technologies for their potential value to the company.
Job Requirements
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
  • 5‑10 years of hands‑on experience in AI/ML engineering, including recent, demonstrated expertise in Generative AI, Agentic AI, and large‑scale model training.
  • Expert programming skills in Python and AI/ML frameworks (Pandas, PyTorch, Tensor Flow, Lang Chain, etc.).
  • Expertise in building agentic AI systems and orchestration frameworks with demonstrated success deploying solutions in traditional engineering and manufacturing environments.
  • Strong working knowledge of model providers and development ecosystems (OpenAI, Anthropic, AWS Bedrock, Sagemaker, Hugging Face, etc.) with a focus on cloud‑based architectures.
  • Experience creating APIs, reusable components, agents and agent orchestrators for AI solutions.
  • Solid understanding…
Position Requirements
10+ Years work experience
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