Staff Machine Learning Engineer

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August 9

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AuditBoard

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SaaS • Compliance • Security

AuditBoard is a leading cloud-based platform that specializes in transforming audit, risk, environmental, social, and governance (ESG), and information security (InfoSec) management. The platform empowers businesses to improve efficiency and clarity in managing risks by providing an integrated, intelligent, and collaborative environment for audit, compliance, risk management, and more. Trusted by more than 50% of the Fortune 500 companies, AuditBoard facilitates the seamless connection of teams, stakeholders, data, and processes, enabling organizations to address risks comprehensively and proactively through automation, analytics, and collaborative workflows. The company offers a modern connected risk management platform and supports SOX, internal audits, IT risk, and ESG programs, aiming to drive business improvements with superior insights and recommendations.

501 - 1000 employees

☁️ SaaS

📋 Compliance

🔐 Security

💰 $40M Series B on 2018-08

📋 Description

• Who We Are • Having surpassed $200M ARR and continuing to grow, AuditBoard is the leading audit, risk, ESG, and InfoSec platform on the market. • More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. • We inspire each other to innovate and are proud of what we are producing. • We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. • We are seeking a passionate and skilled Machine Learning Engineer to join our effort to push the frontiers of risk management. • This role offers the opportunity to work with cutting-edge Large Language Models (LLMs), utilizing techniques like Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation, etc. • You will apply your expertise to build advanced AI/ML solutions, enhancing our AuditBoard product portfolio with features like predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights. • Join our customer-focused team dedicated to continuous learning and innovation.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field • 8 plus 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 always be learning • Experience with Node.JS and modern ES6 or TypeScript (Preferred) • Experience working on SaaS web applications (Preferred) • Basic understanding of distributed systems (Preferred) • Bonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructure (Preferred)

🏖️ Benefits

• Launch a career at one of the fastest-growing SaaS companies in North America! • Live your best life (LYBL)! $200/mo for anything that enhances your life • Remote and hybrid work options, plus lunch in the Cerritos office • Comprehensive employee health coverage (all locations) • 401K with match (US) or pension with match (UK) • Competitive compensation & bonus program • Flexible Vacation (US exempt & CA) or 25 days (UK) • Time off for your birthday & volunteering • Employee resource groups • Opportunities for team and company-wide get-togethers!