Strider Technologies
Technology
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer at Strider Technologies. Skills: Machine Learning, AI, Python, AWS. Design machine learning solutions. Build machine learning solutions”
What You'll Achieve.
unlock value from large-scale document collections; develop scalable intelligence products; find meaningful signals in complex, high-volume data; transform multilingual information into actionable insights; measurable product impact; increase development velocity; maintain high standards for code quality; maintain high standards for reliability; maintain high standards for maintainability; raise the whole team’s ceiling; Immediate Mission Impact; drive innovation and exploration
Industry & Context.
problem-solving skills; translating ambiguity; make thoughtful decisions; adapt as new information emerges; comfortable with ambiguity; surface concerns early; push back when something doesn’t seem right
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 5+ years of experience in Machine Learning or AI, Python skills, Experience working with large, complex datasets, Experience deploying and operating ML or data-processing pipelines in production environments using AWS, understanding of NLP techniques, communication skills
Nice to Have
AWS skills, Experience with Elasticsearch, Experience working with NLP in foreign (non-English) languages, Familiarity with MLOps tools and practices, Experience with PyTorch or Scikit-Learn, Master’s degree or PhD in Computer Science
What You'll Do.
Design machine learning solutions
Build machine learning solutions
Maintain machine learning solutions
Work full engineering lifecycle
Take models R&D to production
Deploy models using AWS
Ensure reliability of ML applications
Ensure performance of ML applications
How You'll Work.
Team & Collaboration
collaborate closely with intelligence and engineering teams; Participate in design reviews; Participate in code reviews; Participate in team discussions; collaborate openly across disciplines; work closely with software engineers; work closely with intel specialists; work closely with product stakeholders
Communication Scope
communication skills; explain complex technical concepts
Full Job Description
Strider Technologies delivers strategic intelligence that helps organizations make faster, more confident decisions in an increasingly complex global environment. Using cutting-edge AI and proprietary methodologies, we transform open-source data into actionable insights that help protect technology, talent, and supply chains from nation-state risks. We’re looking for a Senior Machine Learning Engineer to help Strider unlock value from large-scale document collections. In this role, you’ll build production-ready AI/ML systems for document classification, prioritization, and other document-processing workflows. Your work will directly support the development of scalable intelligence products that help users find meaningful signals in complex, high-volume data. You’ll work with real-world data and collaborate closely with intelligence and engineering teams to turn complex multilingual information into actionable insights. This role is a strong fit for someone who enjoys technical ownership, builds maintainable systems, and excels at translating ambiguity into measurable product impact. You will: - Design, build, and maintain scalable machine learning solutions, typically focused on document classification tasks using AI/ML models. - Work across the full engineering lifecycle from exploratory analysis and prototype development through production deployment, monitoring, iteration, and operational ownership. - Take models from R&D into production and deploy them using AWS cloud services. - Ensure the reliability and performance of machine learning applications by carrying out continuous testing and optimization. - Use AI coding tools such as Cursor and Claude to improve development velocity while maintaining high standards for code quality, reliability, and maintainability. - Participate in design reviews, code reviews, and team discussions, providing technical leadership and insight. What you need to be successful: - Bachelor’s degree in Computer Science, Engineering, or
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