Senior Machine Learning Engineer
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
$150,000 – $230,000Compensation
Senior (5 to 8 years), Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Insurance TechnologyIndustries
Requirements
Candidates must hold a Bachelor's degree in Computer Science or a related technical field, or possess a PhD in computer vision and/or machine learning, and have a minimum of two years of experience in computer vision and/or machine learning, gained 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, and first-authored publications at peer-reviewed conferences like CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH are preferred.
Responsibilities
The Senior Deep Learning Engineer will be responsible for developing algorithms based on state-of-the-art machine learning and neural network methodologies, training and evaluating deep learning models to enable Owl products, and conducting research projects to advance product capabilities. They will collaborate with cross-functional teams to design, implement, and optimize systems for detecting and handling illegitimate claims, and will communicate research findings to both public and peer audiences.
Skills
Deep Learning
Neural Networks
Machine Learning
Natural Language Processing
Computer Vision
Generative AI
Model Fine-tuning
Research Communication
Owl.co
Customer insight solutions for insurance claims
About Owl.co
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.
Vancouver, CanadaHeadquarters
2018Year Founded
$32.7MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise Software, Financial ServicesIndustries
51-200Employees