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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** STAR SALES & DISTRIBUTING CORP. - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $115,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Big Data, Cloud Computing, Configuration Management, Collaborative Software, Collaborative Learning, Data Files, Data Visualization, Desktop Computing, Design of User Interfaces, Apache Hadoop, MapReduce, Human-Computer Interaction, Intelligence Analysis, Internet Security, Python (Programming Language), Machine Learning, Language Modeling, NumPy, Performance Tuning, Systems Development Life Cycle, Software Engineering, Spatial Data Infrastructures, Scripting, Pytorch, Apache Spark, Deep Learning, Scalability Testing, Backend, Git, SC Clearance, Pandas, Matplotlib, Scikit Learn, Information Technology, Dask, Restful APIs, Software Version Control - **Published:** August 21, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-boston-ma--bfa68e30-73ec-4a0e-bc8d-d539841d999b ## About the Role * Active Secret Security Clearance with SCI Eligibility, for which U.S citizenship is needed by the U.S government * Hold a B.S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical Engineering, or other related discipline * Experience in applying AI/ML methods to real-world data science problems, especially in settings where data is sparse, noisy, and/or high dimensional * Experience deploying AI/ML models and constructing analytics pipelines using modern Python-based frameworks * Familiarity with creating data visualizations and user interfaces or dashboards * Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib * Proficient with version control software (Git), JIRA, Confluence, or other common collaboration tools * Demonstrated ability to collaborate effectively within cross-functional teams and communicate with customers and end users Even better: * Active Top Secret (TS) Security Clearance * Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization * Experience working with large datasets (> 100 GB) and familiarity with big data infrastructure and frameworks such as AWS, Hadoop, Spark, Dask, or MapReduce * Possession of an advanced degree in a scientific field and 2+ years of relevant experience after Bachelor's degree (work or post-graduate) * Experience in intelligence and military-related mission areas, Algorithms, Amazon Web Services (AWS), Analysis Skills, Apache Hadoop, Apache Spark, Application Programming Interface (API), Artificial Intelligence (AI), Atlassian JIRA, Big Data, Cloud Computing, Collaborative Learning, Computer Science, Cross-Functional, Customer Relations, Customer/Client Research, Data Science, Data Sets, Data Visualization, Deep Learning, Defense Intelligence, Desktop PC, Electrical Engineering, Electronic Warfare, Frontier Programming Language, Genetics, Git, Government, Internet Security, Machine Learning, MapReduce, Mathematics, Military Intelligence, Mobile Devices, Modeling Languages, Needs Assessment, Performance Tuning/Optimization, Problem Solving Skills, Production Systems, Prototyping, Python Programming/Scripting Language, Reporting Dashboards, Research & Development (R&D), Scalability Testing, Scalable System Development, Secret Clearance, Security Clearance, Sensitive Compartmented Information (SCI), Social Media, Software Engineering, Source Code/Configuration Management (SCM), Spatial Data, State Laws and Regulations, Statistics, Team Player, Technical Support, Top Secret Clearance, Training Data Sets, User Interface/Experience (UI/UX) ## Description As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems. Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will analyze interesting and challenging datasets to develop, implement, and evaluate AI/ML models to discover trends and form valuable intelligence insights. You will help bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback. This position can be based in Woburn, MA; or Arlington, VA. Applicants should expect to primarily work onsite. What you will do: * Investigate and analyze large and interesting data sets to identify and expose hidden patterns and trends * Develop and apply novel AI/ML models to automatically derive valuable insights for defense and intelligence analysts * Collaborate with diverse teams to develop and deploy cutting-edge capabilities into production systems * Support the engineering of robust backend services, scalable APIs, and intuitive user interfaces ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)