ML Engineer

Sixfold.Net - New York, NY

Full-time - Mid Level

New York, NY

About the position

As a Machine Learning Engineer at Sixfold, you will play a pivotal role in revolutionizing the insurance industry through AI-powered decision-making. Your expertise will be essential in developing algorithms that enhance the underwriting process, enabling insurance companies to evaluate and rate submissions with greater speed and accuracy. You will collaborate with product and engineering teams to implement innovative AI solutions that address real-world challenges in insurance.

Responsibilities

• Collaborate with product managers and software engineers to translate complex business requirements into elegant, data-driven solutions.
• Design and implement end-to-end machine learning pipelines for the AI-powered underwriting system.
• Utilize natural language processing and transformer-based models to extract insights from insurance data.
• Fine-tune and optimize machine learning models to enhance performance in insurance applications.
• Work with platform teams to automate model deployment and scaling.

Requirements

• At least 3 years of professional experience as a data scientist or machine learning engineer.
• Experience with classical NLP algorithms and transformer-based models, including hands-on work with LLMs and the Huggingface ecosystem.
• Deep understanding of cloud platforms like AWS or Azure for building scalable AI solutions.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Nice-to-haves

• Experience in the insurance industry or a strong interest in learning about it.
• Experience working in a fast-paced startup environment.
• Familiarity with advancements in AI ethics and responsible AI development.
• Interest in mentoring team members and contributing to a collaborative learning environment.

Benefits

• Equal opportunity employment
• Inclusive work environment with accommodations available for applicants.