3 months ago
Base Salary
$180k - $220k/yr
Responsibilities
- Design, build, and ship ML systems for autonomous underwriting decisions.
- Develop feedback loops to improve model performance based on human underwriter behavior.
- Create confidence scoring and evaluation frameworks for system autonomy.
- Utilize large language models to enhance underwriting workflows.
- Collaborate with underwriters to extract domain knowledge and validate outputs.
- Contribute to the monitoring and safety infrastructure for AI underwriting.
Requirements
- 4+ years of experience in building and deploying ML systems end-to-end.
- Proficiency in Python and modern ML frameworks like PyTorch and TensorFlow.
- Experience with fine-tuning SLMs/LLMs and techniques like RLHF or DPO.
- Ability to build reliable models with limited labeled data.
- Strong evaluation instincts to define success metrics before building.
- Excellent collaboration skills to work with non-technical stakeholders.
Benefits
- 100% contribution to top-tier health, dental, and vision insurance.
- Fertility benefits and family building support.
- Unlimited PTO for flexibility and recharge.
- Daily meals provided for team bonding.
- Access to premium professional development coaching.
- Dog-friendly office environment.
Tech Stack
Categories
AI & MLData Science