Senior Machine Learning Engineer

About the role

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.

Responsibilities

• 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.
• Deploy models using AWS cloud services and 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.

Requirements

• 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 tradeoffs.
• 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.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in Machine Learning or AI.
• Bachelor’s degree or PhD in Computer Science, Engineering, or related field.

Skills

• Strong Python skills and software engineering judgment.
• Experience with large, complex datasets.
• Experience with AWS cloud services.
• Experience with NLP techniques.
• Strong communication skills.
• Experience with MLOps tools and practices.
• Experience with PyTorch or Scikit-Learn.

Benefits

• 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

Pay

Competitive compensation package.

Schedule

Hybrid schedule.