An innovative insurance technology company located in San Francisco is seeking its first Machine Learning Engineer to drive the development of fully autonomous underwriting systems. This is a pioneering role with high ownership, where you will design and implement ML solutions that integrate real-time data and automate underwriting processes. The ideal candidate possesses over 4 years of experience in ML systems and has strong collaboration skills to work directly with underwriters. Competitive benefits and a dynamic work environment await qualified applicants.
Qualifications
4+ years of industry experience building and shipping ML systems end-to-end.
Experience finetuning SLMs/LLMs using techniques like RLHF or DPO.
Familiarity with document parsing or NLP on unstructured business documents.
Responsibilities
Design and build ML systems for autonomous underwriting decisions.
Work closely with underwriters to understand the domain.
Contribute to observability and monitoring infrastructure.
Skills
Experience building and shipping ML systems
Deep proficiency in Python
Expertise in modern ML frameworks
Experience with LLMs in production
Strong evaluation instincts
Excellent collaboration skills
Comfort with ambiguity
Education
MS or PhD in a quantitative field
Tools
AWS Sagemaker
PyTorch
TensorFlow
SQL
Job description
An innovative insurance technology company located in San Francisco is seeking its first Machine Learning Engineer to drive the development of fully autonomous underwriting systems. This is a pioneering role with high ownership, where you will design and implement ML solutions that integrate real-time data and automate underwriting processes. The ideal candidate possesses over 4 years of experience in ML systems and has strong collaboration skills to work directly with underwriters. Competitive benefits and a dynamic work environment await qualified applicants.