Software Engineer, Full Stack
DatologyAI8 months ago
San Mateo, CA, USAMid Level
Base Salary
$180k - $300k/yr
Responsibilities
- Own the full-stack development lifecycle for customer-facing data curation products and internal tooling interfaces.
- Build the core product used by customers to curate datasets and explore related visualizations.
- Talk with customers and internal stakeholders to understand problems and design solutions.
- Collaborate with engineers, researchers, designers, and other cross-functional partners to deliver product features and research capabilities.
- Ensure products and systems are reliable, secure, high quality, and worthy of customer trust.
Requirements
- 4+ years of relevant experience.
- Meaningful experience leading and building production front-end systems for major product initiatives.
- Proficiency in JavaScript or TypeScript, React, other web technologies, and Python.
- Experience maintaining high standards for design, correctness, quality, and testing.
- Ability to own problems end-to-end and acquire missing knowledge as needed.
- Prior ML/AI experience is preferred but not required.
- Humility, eagerness to help colleagues, and commitment to team success.
Benefits
- 100% covered medical, vision, and dental benefits.
- 401(k) plan with a 4% company match.
- Unlimited paid time off.
- 12 weeks of paid parental leave plus 6 months of work-from-home flexibility.
- Annual $2,000 wellness stipend.
- Annual $1,000 learning and development stipend.
- Daily lunches and snacks provided in the office.
- Relocation assistance for employees moving to the Bay Area.
- Role is based in San Mateo, California, with four days per week in the office.
Tech Stack
Categories
About DatologyAI
DatologyAI builds software that automatically curates and selects training data for deep learning, removing redundant or harmful examples across text, image, and other modalities. Its data-curation suite helps ML teams train better models with fewer labels and lower compute by optimizing large, unlabeled datasets. Founded in 2023 and headquartered in Redwood City, California, the privately held company sells its tools to organizations building large-scale AI systems across industries.