Senior 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

• Build, ship, and own product features end-to-end such as predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights.• Work with engineers, designers, and product managers to create high-performing product features.• Design and implement AI solutions using classical ML methods and advanced techniques like LLMs• Write well-designed, maintainable, and testable code• Write clear and well-defined design documentation• Troubleshoot, debug, and resolve software bugs• Be product-minded and think about the customer• Stay updated on AI/ML advancements and explore new techniques and tools.• Participate in an Agile software development life cycle• Work with Python, JavaScript, Node.JS, Docker, PostgreSQL, Kubernetes, etc

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field• 4 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• Experience working on SaaS web applications• Basic understanding of distributed systems• Bonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructure

🏖️ 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!