Staff Machine Learning Engineer

Cerritos, California, United States

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CA$184,000 – CA$276,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Audit, Risk Management, ESG, InfoSec, Software, BiotechnologyIndustries

Requirements

Candidates should possess a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field, with 8+ years of hands-on experience in developing and deploying machine learning models. Proficiency in Python, Java, or similar languages, along with experience in machine learning frameworks like TensorFlow, PyTorch, Hugging Face, Keras, MXNet, or scikit-learn, is required. Familiarity with search/information retrieval, ranking systems, and strong communication and analytical skills are essential. Experience with Node.JS, modern ES6 or TypeScript, SaaS web applications, and bonus experience with Docker, Kubernetes, or cloud infrastructure are preferred.

Responsibilities

The Staff Machine Learning Engineer will build, ship, and own product features end-to-end, including predictive analytics, automated risk assessments, and intelligent data extraction. They will collaborate 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, and write well-designed, maintainable, and testable code with clear design documentation. Responsibilities also include troubleshooting software bugs, staying updated on AI/ML advancements, and participating in an Agile software development life cycle.

Skills

Machine Learning

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Few-Shot Learning

Prompt Engineering

Fine-Tuning

Semantic Search

Knowledge Distillation

AI/ML solutions

Predictive Analytics

Automated Risk Assessments

Intelligent Data Extraction

Personalized Insights

AuditBoard

GRC software for audit and compliance

About AuditBoard

AuditBoard provides Governance, Risk, and Compliance (GRC) software solutions for large enterprises, including many Fortune 500 companies. Its platform automates and manages audit, risk, and compliance programs in real time, enabling teams to collaborate and report from anywhere. The company operates on a Software-as-a-Service (SaaS) model, offering specialized modules for different GRC aspects, which simplifies complex tasks and improves efficiency. AuditBoard's goal is to empower organizations to effectively manage their compliance and risk management needs.

Cerritos, CaliforniaHeadquarters

2014Year Founded

$42.4MTotal Funding

BUYOUTCompany Stage

Enterprise Software, Financial ServicesIndustries

501-1,000Employees

Risks

Increased competition from emerging GRC software providers could erode market share.

Rapid technological advancements may require costly updates to remain competitive.

Cybersecurity threats targeting cloud-based platforms could damage reputation and client trust.

Differentiation

AuditBoard offers a fully integrated GRC platform for large enterprises.

The platform provides real-time collaboration and reporting capabilities for remote work environments.

AuditBoard's SaaS model ensures continuous updates and improvements to its software.

Upsides

AuditBoard ranked #1 in enterprise Security Compliance in G2 Winter 2025 Grid Report.

The company was named 'Overall Risk Management Solution of the Year' in 2024.

AuditBoard's new analytics suite enhances data insights for customers.

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