Senior Machine Learning Engineer

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.

• 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.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in Machine Learning or AI.
• Strong Python skills and sound software engineering judgment, with the ability to write maintainable, production‑oriented code.
• Experience working with large, complex datasets to assess quality, coverage, value, and trade‑offs.
• Experience deploying and operating ML or data‑processing pipelines in production environments using AWS.
• Strong understanding of NLP techniques such as tokenization, entity extraction, disambiguation, and language models.
• Strong communication skills, with the ability to explain complex technical concepts to engineering partners, product stakeholders, and leadership.
• Self‑motivated, pragmatic, and impact‑oriented, with strong problem‑solving skills and attention to detail.

• Strong 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, Engineering, or related field.

• Competitive Compensation
• Company Equity Options
• Flexible PTO
• Wellness Reimbursement
• US Holidays (office closed)
• Paid Parental Leave
• Comprehensive Medical, Dental, and Vision Insurance
• 401(k) Plan

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.