Senior Machine Learning Engineer, AI Governance

Optro is the leading audit, risk, ESG, and InfoSec platform on the market, trusted by over 50% of the Fortune 500. Having surpassed $300M ARR and recognized as one of the 500 fastest-growing tech companies in North America by Deloitte, Optro is committed to innovation, customer obsession, and a growth mindset. We inspire each other to create the most loved audit, risk, ESG, and InfoSec platform by continuously seeking new ways to help our customers and contribute to our communities.

Introduction

Optro is a leading audit, risk, ESG, and InfoSec platform trusted by over 50% of the Fortune 500. We are seeking a passionate and skilled Senior Machine Learning Engineer to join our team, focusing on pushing the frontiers of risk management through advanced AI/ML solutions.

This role offers the opportunity to work with cutting-edge Large Language Models (LLMs), including techniques like Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation. You will enhance our AuditBoard product portfolio with features such as chat systems, agentic workflows, intelligent data extraction, and personalized insights. If you are excited about transforming the industry with modern AI/ML techniques and are dedicated to continuous learning and innovation, this role is for you.

Responsibilities

• Build, ship, and own product features end-to-end.
• Collaborate with designers and product managers to create high-performing product features.
• Apply a range of techniques, from classical ML to LLM-based approaches (RAG, prompt engineering, fine-tuning, semantic search), with a strong focus on reliability, performance, and maintainability.
• Write well-designed, maintainable, and testable code.
• Write clear and well-defined design documentation.
• Troubleshoot, debug, and resolve software bugs.
• Maintain a product-minded approach, always considering the customer's needs.
• Stay updated on AI/ML advancements and explore new techniques and tools.
• Participate in an Agile software development life cycle.
• Work with technologies including Python, JavaScript, Node.JS, Docker, PostgreSQL, and Kubernetes.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• 4+ years of hands-on experience in developing and deploying machine learning models.
• Ability to write scalable production-quality code.
• Proficiency in classical machine learning methods and familiarity with newer techniques like LLMs.
• Excellent programming skills in Python, Java, or similar languages.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, Keras, MXNet, or scikit-learn.
• Familiarity with search/information retrieval and ranking systems.
• Strong communication skills and ability to work collaboratively.
• Analytically minded with a focus on metrics and evaluation.
• Motivation to work hard and continuously learn.

Nice to Have

• Experience with Node.JS and modern ES6 or TypeScript.
• Experience working on SaaS web applications.
• Basic understanding of distributed systems.
• Bonus: Experience with Docker, Kubernetes, AWS/Azure cloud infrastructure.

Benefits

• Launch a career at one of the fastest-growing SaaS companies in North America and EMEA.
• Live Your Best Life (LYBL)! $200/month (USD) for anything that enhances your life.
• Comprehensive employee health and life insurance coverage.
• Competitive compensation & bonus program.
• Statutory vacation + Flexible vacation.
• Time off for your birthday & volunteering.
• Employee resource groups.
• Opportunities for team and company-wide get-togethers! *Perks may vary based on eligibility/location.

About Company

Optro is the leading audit, risk, ESG, and InfoSec platform, recognized among the 500 fastest-growing tech companies in North America by Deloitte. We are a customer-obsessed company that values gritty resilience, innovation, teamwork, and a growth mindset. We are committed to helping our customers and contributing to our communities, inspiring each other to innovate and create the most loved audit, risk, ESG, and InfoSec platform.

How to Apply

Apply for this position