---
title: 'Senior Machine Learning Engineer at Strider Technologies'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-strider-technologies-tysons-corner-aghzptqk7ksn'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Machine Learning Engineer at Strider Technologies

- **Company:** Strider Technologies
- **Location:** Tysons Corner, VA
- **Employment:** full-time
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/strider-technologies/79c17811-7a69-484a-88d7-56f1b3cdfe28/application

**Skills:** Python, AWS, Machine Learning, AI, NLP, Tokenization, Entity Extraction, Disambiguation, Language Models, ML Pipelines, Data Processing, Elasticsearch, MLOps, PyTorch, Scikit-Learn, NLP in foreign languages

> Strider Technologies seeks a Senior Machine Learning Engineer to build production-ready AI/ML systems for document classification and processing. The role involves designing scalable ML solutions, deploying models on AWS, and collaborating with intelligence and engineering teams to transform complex data into action...

## 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 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.

Nice-to-haves:

- 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.

## How We Work

We’re a hybrid team that values autonomy, mission impact, and craftsmanship in equal measure. Here’s what that looks like in practice:

- We own our work end-to-end. Engineers here help shape the problem, design the solution, and think carefully about where technical effort can create the most value. Many of our highest-impact opportunities are ambiguous at the start, so we look for people who can make thoughtful decisions, communicate clearly, and adapt as new information emerges.
- We build with rigor and move with purpose. We believe quality and velocity aren’t at odds. We are looking for developers fully leaning into agentic engineering and AI coding tools to increase their velocity as well as their quality.
- We collaborate openly across disciplines. Our ML engineers work closely with software engineers, intel specialists, and product stakeholders. Perspectives from across the org sharpen our thinking — you’ll both contribute to and learn from those conversations regularly.
- We make space to go deep. Novel research and creative exploration are encouraged, not squeezed into the margins. We create time for engineers to dig into hard problems and invest in their craft — whether that’s a new modeling approach, a better evaluation framework, or contributing to internal tooling that raises the whole team’s ceiling.
- We trust each other with the hard stuff. You’ll be working on problems where the answers aren’t obvious. We want people who are comfortable with ambiguity, willing to surface concerns early, and confident enough to push back when something doesn’t seem right.

Why join this team:

- Immediate Mission Impact: Join a small, agile team where your contributions will have a direct, tangible impact on Strider’s mission from day one.
- Data-Rich Environment: Leverage our large, diverse, proprietary datasets to drive innovation and exploration in machine learning and AI.
- Continuous Learning: Benefit from our commitment to your personal and professional growth, whether it’s mastering new technical skills or learning a new language.
- Culture of Innovation: Be part of a forward-thinking team that values innovative thinking and the continuous improvement of our practices and solutions.

## BENEFITS:

- Competitive Compensation
- 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.

## About Strider Technologies

## Company Overview
- **One-liner**: Strider Technologies provides a strategic intelligence platform that uses AI and proprietary methodologies to transform open-source data into actionable insights, helping organizations identify and navigate geopolitical and nation-state risks.
- **Entity Type**: Private (Series unknown; venture-backed)
- **Headquarters**: Salt Lake City, Utah, United States
- **Founded**: 2019
- **Founders**: Greg Levesque, Eric Levesque, Mike Brown

## Core Business
- **Primary industry**: Strategic Intelligence / Geopolitical Risk Management / Cybersecurity
- **Target customers**: B2B, primarily Fortune 500 enterprises, government entities, and academic/research institutions.
- **Mission or purpose statement**: To deliver strategic intelligence that enables faster, more confident decision-making for organizations navigating an increasingly complex geopolitical landscape.

## Products & Services
- **Strider Platform (Agentic AI)**: A cloud-based platform that uses agentic AI to discover, connect, and analyze global data from hard-to-access sources (90K+ new documents captured daily). It surfaces relevant geopolitical and nation-state risk insights.
- **Shield**: A capability for identifying and managing state-sponsored threats related to people, technology, and organizational relationships.
- **People Search**: A tool to screen individuals for nation-state ties and falsified resumes.
- **Organizations Search**: An offering to assess third-party organizations for ties to state-sponsored threats.
- **Open Source Software Search**: Integrates a threat intelligence dataset on state-sponsored actors into client SIEM and DLP systems to uncover malicious contributions to open-source libraries.
- **Data Catalog**: Provides exclusive data assets for customized analysis.

## Market Standing
- **Valuation**: Not publicly available.
- **Key Metric (Funding)**: Total funding amount not disclosed; founded by experts in economic espionage and technology (Greg Levesque, Eric Levesque, Mike Brown).
- **Notable Investors/Partners**: Not disclosed publicly. The company serves Fortune 500 organizations, government entities, and academic institutions globally.
- **Growth Signals**: Rapid headcount growth of +34.4% year-over-year (reaching 231 employees). Operations in 15 countries. Active job postings increased by +33.3% quarterly and +6.7% yearly. The company’s LinkedIn follower base grew by +47.4% annually, indicating strong brand interest.

## Competitive Advantages
- **Proprietary AI Engine & Risk Methodology**: A unique, structured, and defensible methodology for prioritizing geopolitical risk.
- **Zero-Touch Architecture**: The platform requires no internal client data, ensuring full separation and security for clients.
- **Hard-to-Access Data Sources**: Accesses global, multilingual documents beyond the reach of traditional search engines.
- **Deep Expertise**: Founded by leading experts in economic espionage, technology, and government advisory, giving the company a unique vantage point.

## Strategic Focus
- **Agentic AI**: The company is heavily investing in agentic AI to automate the discovery and connection of global data, making intelligence faster and more intuitive.
- **Global Expansion**: Operating in 15 countries, the company is focused on scaling its presence worldwide, particularly in key geopolitical markets like Japan and the UK.
- **Product Innovation**: Continuously expanding platform capabilities (People Search, OSS Search, Data Catalog) to cover the full spectrum of client risk surfaces.

## Why Work Here
- **Mission-Driven Culture**: Employees work on a high-impact mission to protect national security and innovation from state-sponsored threats.
- **Collaborative Environment**: The culture is built on "eagerness and no ego," with a strong emphasis on collaboration and team success.
- **Real-World Impact**: The company states that employees can "make headlines and change history" by working directly with Fortune 500 and government clients.
- **Benefits**: Includes flexible PTO, equity options, medical/dental/vision insurance, parental leave, daily office lunch, and snacks/drinks.
- **Location & Flexibility**: Headquarters in Salt Lake City, UT, with a "flexible schedule" policy. The office is close to public transportation.
- **Growth Trajectory**: With 34.4% annual headcount growth and 16 active job postings, the company is in a rapid scaling phase, offering significant career progression opportunities.

## Sources
1. [striderintel.com](https://www.striderintel.com/)
2. [striderintel.com/company](https://www.striderintel.com/company/)
3. [striderintel.com/company/careers](https://www.striderintel.com/company/careers/)
4. [linkedin.com/company/teamstrider](https://www.linkedin.com/company/teamstrider)
5. [indeed.com](https://www.indeed.com/q-strider-technologies-jobs.html)

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