Senior Machine Learning Engineer - Remote

Overview

AuditBoard is a leading audit, risk, ESG, and InfoSec platform, serving over 50% of the Fortune 500, and is recognized for its innovative technology.

In Short

• Join a dynamic team focused on pushing the frontiers of risk management.
• Work with cutting-edge Large Language Models (LLMs).
• Utilize techniques like Retrieval-Augmented Generation (RAG) and Few-Shot Learning.
• Build advanced AI/ML solutions for predictive analytics and automated risk assessments.
• Collaborate with engineers, designers, and product managers.
• Write maintainable and testable code.
• Participate in Agile software development.
• Stay updated on AI/ML advancements.
• Work with technologies such as Python, JavaScript, and Docker.
• Be part of a customer-focused team dedicated to innovation.

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field.
• 4+ years of experience in developing and deploying ML models.
• Proficient in Python, Java, or similar languages.
• Experience with ML frameworks like TensorFlow and PyTorch.
• Strong communication skills and ability to work collaboratively.
• Analytical mindset with focus on metrics.
• Motivation to continuously learn and improve.
• Familiarity with search/information retrieval systems.
• Ability to write scalable production-quality code.
• Experience with Node.JS and modern ES6 or TypeScript is preferred.

Benefits

• Competitive compensation and bonus program.
• Remote and hybrid work options.
• Comprehensive health coverage.
• 401K with match (US) or pension with match (UK).
• Flexible vacation policy.
• Time off for your birthday and volunteering.
• Employee resource groups.
• Opportunities for team and company-wide events.
• $200/month for personal enhancement.
• Launch a career at one of the fastest-growing SaaS companies.