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Principal Engineer - Machine Learning

Interos

Interos

Software Engineering
Arlington, VA, USA
USD 200k-280k / year + Equity
Posted on Jul 25, 2025
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Position: Principal Engineer - Machine Learning
Location: Remote
Job Id: 309
# of Openings: 1
Role: Principal Engineer - Machine Learning
About interos.ai: Interos is the supply chain risk intelligence company – building the most trusted and transparent supply chains in the world. Our pioneering discovery and monitoring intelligence spans the lifecycle of supply chain risk, enabling faster and more informed threat mitigation. As the world’s first, and only, automated supplier intelligence platform, we continuously map and monitor extended supply chains at speed and scale to protect organizations from regulatory fines, unethical labor, cyber-attacks, and other systemic vulnerabilities. Interos serves a variety of commercial, government, and public sector customers around the world including a host of Global Fortune 500 companies and members of the Five Eyes nations. www.interos.ai

About the role: We are seeking an experienced Senior Principal/Principal Machine Learning Engineer who will serve as a technical architect for our ML team. This role is critical in defining the tooling strategy, staying ahead of industry trends, and ensuring our AI-driven solutions seamlessly integrate deeply within Intero’s product. You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and leveraging LLMs, automation frameworks and enterprise AI technologies to design and develop scalable, reliable and trusted AI agents.

What you will do:
  • Architect AI-powered agents that integrate deeply into Interos.ai product experience
  • Understanding of AI Lifecycle: Comprehensive knowledge of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation
  • Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance
  • Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
  • Define best practices for agent design, security, and governance in AI-driven enterprise applications.
  • Work with product, engineering, and data science teams to design and implement AI-based automation solutions.
  • Identify new opportunities to embed AI into the Interos.ai platform.
  • Collaborate with external AI vendors, cloud providers, and open-source communities to bring the best-in-class technologies into our AI stack.
  • Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.

What you bring:
  • 12+ years of experience in Software development.
  • 7+ years of experience in AI, machine learning, with a focus on enterprise applications.
  • Deep understanding of LLMs, AI agents, and orchestration frameworks (e.g., LangGraph)
  • Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
  • Proficiency in Python, cloud services (AWS), and AI model deployment.
  • Strong problem-solving skills and the ability to translate business needs into AI-powered solutions.
  • Experience in data privacy, security, and compliance for AI in enterprise environments
  • Experience in Data lakes such as Snowflake and Databricks.

Bonus points for:
  • Masters/Doctorate degree in a relevant field, such as Computer Science, Mathematics, or Engineering.
  • Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring.
  • Hands-on experience with vector databases, retrieval-augmented generation (RAG), and fine-tuning LLMs.
  • Experience with fine-tuning models including identifying and curating datasets as well as experimenting with models for iterative improvement

What We Offer:
  • Comprehensive health, dental & vision insurance
  • 401(k) with employer match
  • Flexible Time Off (FTO) + 10 paid holidays
  • Wellness perks including onsite gym + Peloton room (HQ)
  • Career growth opportunities in a fast-scaling company
  • Employee referral bonuses and recognition programs
Compensation
  • Base Salary Range: $200,000 - $280,000 USD (depending on experience and location)
  • Variable Compensation: Performance-based annual bonus
  • Equity: Stock options included as part of total compensation package
We believe in rewarding great work with competitive, transparent compensation. Final offer will be based on skills, experience, and geographic location.

Work Environment, Location and Travel:

This is a remote-first role open to candidates legally authorized to work in the United States. Employees may optionally work from our Arlington, VA HQ. This position may require up to minimal travel.

Equal Opportunity Employer

Interos.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status.

Accessibility & Accommodations

We are committed to providing reasonable accommodations for candidates throughout the hiring process. If you need assistance, please contact us at hr@interos.ai.

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