Senior Machine Learning Engineer
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates must possess a Bachelor's degree in Computer Science or a related technical field, or a PhD in computer vision and/or machine learning, with a minimum of 2+ years of experience in computer vision and/or machine learning, either in industry, academia, or a government lab. Applicants should demonstrate experience solving complex problems, evaluating alternative solutions, and communicating research effectively. Furthermore, experience with Generative AI technology and model finetuning techniques such as instruct tuning, SFT, and RLHF is required, along with preferred publications at peer-reviewed conferences.
The Senior Deep Learning Engineer will be responsible for developing algorithms based on state-of-the-art machine learning and neural network methodologies, training, evaluating, and deploying deep learning models to enable Owl products, and conducting research projects to advance product capabilities. They will also collaborate closely with cross-functional teams to design and implement systems for detecting and handling illegitimate claims within the insurance industry.
Customer insight solutions for insurance claims
Owl.co provides customer insight solutions tailored for the insurance industry, focusing on improving the claims process for bodily injury claims. The platform uses data analytics and machine learning to analyze both structured and unstructured data, allowing insurance companies to access unbiased information about claimants. This helps insurers make quicker and more informed decisions, ultimately leading to faster resolutions for claimants. Unlike its competitors, Owl.co emphasizes accuracy and efficiency in claim processing, addressing common issues such as delays and incorrect decisions that many claimants face. The company's goal is to streamline the claims process, ensuring that decisions benefit both insurers and claimants, resulting in a more efficient and fair experience.