> Markdown version of [/jobs/ext/249023-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/249023-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** QM Technologies, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Code Review, Python (Programming Language), Machine Learning, Quantum Computing, Azure Machine Learning, Software Engineering, Reinforcement Learning, Deep Learning, Git Flow, Codebase, Virtual Agents
- **Published:** May 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1af7c357e5c94eaa

## About the Role

* PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience
 * Strong background in Machine Learning and Deep Learning, with hands-on experience in at least one of: deep learning, reinforcement learning, agentic AI
 * Strong Python proficiency, including scientific or systems-oriented codebases
 * Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
 * Proven track record of taking ML from prototype to deployment under real-world constraints - non-stationary data, expensive evaluations, or safety-critical action spaces. Robotics, online control, autonomous vehicles, or hardware-in-the-loop ML all transfer well
 * Strong problem-solving skills and customer-focused mindset; ability to work independently and in multidisciplinary teams
 * Proven software development track record and excellent technical communication skills
 * Familiarity with quantum computing concepts - qubit calibration, randomized benchmarking, QEC, optimal control- advantage
 * Experience with sim-to-real, multi-objective RL, or meta-learning- advantage

## Description

* Develop reinforcement learning, Bayesian inference, and probabilistic modelling approaches for parameter tuning, drift tracking, and adaptive measurement, to be deployed on real hardware.
 * Develop real-time parameter steering for calibration during QEC and between circuits.
 * Develop and maintain agentic frameworks for autonomous system control and calibration.
 * Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum Machines control stack, including QUA, Qualibrate, and the OPX1000.
 * Work directly with customers and partner labs to deploy, validate, and iterate on ML solutions in real experimental environments.
 * Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials.


## Related Videos

- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)
- [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data)
- [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology)
- [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success)
- [Build a CI/CD pipeline to automate code reviews and ensure code quality](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality)
- [Why your codebase lies to AI?](https://www.wearedevelopers.com/videos/100281-why-your-codebase-lies-to-ai)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)
- [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)