Lead Machine Learning Engineer

Lead Machine Learning Engineer

Interos.ai is defining the category of supply chain risk intelligence, building the world's most trusted and transparent supply chains. Our pioneering platform automates the discovery and continuous monitoring of supply chain risk across every tier, enabling faster, data-driven threat mitigation and resilience at global scale. As the first and only automated supplier intelligence platform, interos.ai gives organizations real-time visibility into extended supply chains to protect against regulatory risk, unethical labor, cyber threats, and systemic vulnerabilities all through a single pane of glass. With customers spanning commercial, Federal, A&D, and public sectors, including Global Fortune 500 companies and members of the Five Eyes nations, interos.ai offers a rare opportunity to help shape an early, fast-growing market that's transforming global security and economic resilience.

At interos.ai, you'll join a team that's not afraid to challenge conventions, explore new ideas, and iterate quickly in pursuit of the best solutions. We operate in a space that's evolving fast, and so are we. Our work is meaningful, the problems we tackle are complex, and the pace requires focus, curiosity, and adaptability. We're looking for people who are humble in how they collaborate, hungry to succeed, and smart in how they work to solve problems (EQ). People who thrive here are energized by broad exposure and a dynamic scope of work, comfortable navigating ambiguity, open to feedback, proactive in taking ownership, and motivated by making a real impact. If you're seeking a predictable routine or a highly structured environment, you may find our pace challenging. If you're someone who leans into change, enjoys solving hard problems with great teammates, and wants to contribute to technology that truly matters, you'll fit right in. We're excited to meet individuals who bring expertise in their craft, a willingness to experiment, and a mindset grounded in continuous learning.

What You Will Do:

• Develop 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.
• Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.

What You Bring:

• 8+ years of experience in Software development.
• 5+ 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 - $240,000 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 View email address on click.appcast.io.