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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** MORSE Corp - **Location:** Cambridge, MA, United States - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Object Detection, Software Deployment, Test Data, Large Language Models, Data Management, Machine Learning Operations, Docker - **Published:** August 6, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/machine-learning-engineer-cambridge-ma-usa-58835638 ## About the Role _ * Acquire truth data, integrate and test algorithms, and analyze field-test data Tasks * US citizenship and ability to obtain a U.S. Security Clearance * Masters or Ph.D. in a related field * Proven experience applying CV models and libraries to implement and fine-tune models * Proven experience testing and validating AI in real-world applications * Proficiency in Python * Experience with cloud platforms (AWS and Azure) * Experience with Docker * Experience with MLOps tools (Airflow, MLFlow, AimStack) * Exceptional communication skills and ability to work with customers * Understanding of Department of Defense requirements is a plus Key requirements * bonus potential * stock * 401(k) match * health, dental, vision, and life insurance * paid time off * 10 paid holidays ## Description Experteer Overview In this role, you will design, implement, and manage advanced ML systems with a focus on computer vision, handling data, evaluation, and production deployment across on-prem, cloud, or embedded environments. You'll collaborate with a multidisciplinary team to translate research into robust, field-ready algorithms for national security applications. The position offers a chance to work across modalities (CV, LLMs, audio) and to influence deployment and performance in mission-critical contexts. You'll stay current with research, evaluate techniques, and drive practical impact for customers. Compensation / Benefits * Develop, fine-tune, train, and optimize computer vision algorithms for object detection and tracking * Utilize MLOps tools for experiment tracking, data management, and reproducibility * Write robust, efficient, and maintainable code * Stay abreast of ML research and bring new techniques to MORSE * Conduct experiments and rigorous evaluations of CV models * Acquire truth data, integrate and test algorithms, and analyze field-test data Tasks * US citizenship and ability to obtain a U.S. Security Clearance * Masters or Ph.D. in a related field * Proven experience applying CV models and libraries to implement and fine-tune models * Proven experience testing and validating AI in real-world applications * Proficiency in Python * Experience with cloud platforms (AWS and Azure) * Experience with Docker * Experience with MLOps tools (Airflow, MLFlow, AimStack) * Exceptional communication skills and ability to work with customers * Understanding of Department of Defense requirements is a plus Key requirements * bonus potential * stock * 401(k) match * health, dental, vision, and life insurance * paid time off * 10 paid holidays ## Related Videos - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Stop Guessing, Start Measuring: Evaluating RAG Systems with Synthetic Test Data](https://www.wearedevelopers.com/videos/1982-stop-guessing-start-measuring-evaluating-rag-systems-with-synthetic-test-data) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)