Machine Learning Engineer Job Cerritos area,California USA,IT/Tech

Position: Staff Machine Learning Engineer

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Who We Are

Having surpassed $200M ARR and continuing to grow, Audit Board is the leading audit, risk, ESG, and Info Sec platform on the market. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us:
Audit Board is top-rated on and Gartner Peer Insights.

At Audit Board, we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and Info Sec platform by our customers.

This is how we have become one of the 500 fastest-growing tech companies in North America for the sixth year in a row, as ranked by Deloitte!

Why This Role is Exciting

Why This Role is Exciting

We are seeking a passionate and skilled Machine Learning Engineer to join our effort to push the frontiers of risk management.

This role offers the opportunity to work with cutting-edge Large Language Models (LLMs), utilizing techniques like Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation, etc. You will apply your expertise to build advanced AI/ML solutions, enhancing our Audit Board product portfolio with features like predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights. If you're excited about leveraging modern AI/ML techniques to transform the industry, this role is for you.

Join our customer-focused team dedicated to continuous learning and innovation.

Responsibilities

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, Postgre

SQL, Kubernetes, etc

Attributes Of a Successful Candidate

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
8 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 Tensor Flow, 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

Preferred

Experience with Node.

JS and modern ES6 or Type Script
Experience working on SaaS web applications
Basic understanding of distributed systems
Bonus:
Docker, Kubernetes experience, AWS/Azure cloud…


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