Join AuditBoard as a Machine Learning Engineer and push the frontiers of risk management. You will build advanced AI/ML solutions using cutting-edge techniques to enhance our product portfolio.

What You'll Do

Build, ship, and own product features end-to-end.
Work with designers and product managers to create high-performing product features.
Apply a range of techniques—from classical ML to LLM-based approaches like RAG, prompt engineering, fine-tuning, and semantic search—with a focus on reliability and performance.
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, and more.

What We're Looking For

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
4+ years of hands-on experience 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.

Nice to Have

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

Technical Stack

Languages: Python, JavaScript, Node.JS
Frameworks & Tools: TensorFlow, PyTorch, Hugging Face, Keras, MXNet, scikit-learn
Infrastructure: Docker, Kubernetes, PostgreSQL

Benefits & Compensation

Launch a career at one of the fastest-growing SaaS companies in North America.
Live Your Best Life (LYBL): $200/month for anything that enhances your life.
Comprehensive employee health coverage.
401K with match (US) or pension with match (UK).
Competitive compensation and bonus program.
Flexible Vacation (US exempt & CA) or 25 days (UK).
Time off for your birthday and volunteering.
Employee resource groups.
Opportunities for team and company-wide get-togethers.

Work Mode

This position is open to candidates based in Canada.

Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.