Description:

AuditBoard is a leading audit, risk, ESG, and InfoSec platform, having surpassed $200M ARR and serving over 50% of the Fortune 500.
The company is seeking a Senior Machine Learning Engineer to enhance their product portfolio with advanced AI/ML solutions.
This role involves working with cutting-edge Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG), Few-Shot Learning, and Prompt Engineering.
Key responsibilities include building end-to-end product features like predictive analytics and automated risk assessments, collaborating with engineers and product managers, and writing maintainable code.
The candidate will also be expected to stay updated on AI/ML advancements and participate in an Agile software development life cycle.

Requirements:

A Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is required.
The candidate should have 3-4 years of hands-on experience in developing and deploying machine learning models.
Proficiency in classical machine learning methods and familiarity with newer techniques like LLMs is necessary.
Excellent programming skills in Python, Java, or similar languages are required.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn is essential.
Strong communication skills and the ability to work collaboratively are important.
The candidate should be analytically minded with a focus on metrics and evaluation, and have a motivation to continuously learn.
Preferred qualifications include experience with Node.JS, SaaS web applications, and a basic understanding of distributed systems.

Employees can launch their careers at one of the fastest-growing SaaS companies in North America.
The company offers a "Live your best life" benefit of $200/month for personal enhancement.
Remote and hybrid work options are available, along with lunch provided in the Cerritos office.
Comprehensive employee health coverage is offered for all locations.
A 401K with match (US) or pension with match (UK) is included.
Competitive compensation and a bonus program are part of the benefits package.
Flexible vacation policies or 25 days off (UK) are provided, along with time off for birthdays and volunteering.
Employees can participate in resource groups and have opportunities for team and company-wide gatherings.