Senior Machine Learning Engineer

Limelight Health; South Jordan (UT); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Competitive Compensation

Company Equity Options

Flexible PTO

Wellness Reimbursement

Comprehensive Medical, Dental, and Vision Insurance

401(k) Plan

Paid Parental Leave

Job summary

Limelight Health is looking for a Senior Machine Learning Engineer to develop scalable machine learning solutions focused on document classification. You'll work with AI/ML models to extract insights from complex datasets while collaborating with technology and engineering teams.

This role requires a Bachelor's degree in Computer Science and 5+ years of experience. Strong proficiency in Python and AWS is essential, as is knowledge of NLP techniques. Competitive compensation and comprehensive benefits are provided.

Qualifications

• 5+ years of experience in Machine Learning or AI.
• Strong understanding of NLP techniques.
• Experience deploying ML or data-processing pipelines using AWS.

Responsibilities

• Design and maintain scalable machine learning solutions.
• Deploy models into production using AWS cloud services.
• Monitor and optimize performance of machine learning applications.

Skills

Machine Learning

Python

NLP techniques

AWS

Data Processing

Education

Bachelor’s degree in Computer Science or Engineering

Tools

AWS

Elasticsearch

PyTorch

Scikit-Learn

Job description

Location

Tysons Corner, VA; South Jordan, UT

Employment Type

Full time

Department

Technology

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.

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

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.