3 days ago
Base Salary
$198k - $259k/yr
Responsibilities
- Architect, develop, and deploy scalable AI applications into production with robust platform integrations.
- Drive development of intelligent agents and AI-powered customer features.
- Collaborate with research scientists, data scientists, and product managers to define requirements and deliver business-impacting features.
- Evaluate emerging AI technologies, frameworks, and tools for enterprise generative AI applications.
- Champion responsible AI practices, including bias detection, explainability, and safety alignment.
- Write clean, efficient, and well-tested code for scalable software systems.
Requirements
- 5+ years of professional experience building and deploying machine learning or AI systems in production.
- Proficiency in Python and experience with PyTorch, TensorFlow, or JAX.
- Strong foundation in machine learning, deep learning architectures, natural language processing, and large language models.
- Experience with AWS, GCP, or Azure and MLOps tools for managing the AI lifecycle.
- Strong problem-solving skills and the ability to address complex technical challenges with creative AI solutions.
- Ability to collaborate across diverse teams, innovate, and take ownership of projects.
Benefits
- Generous paid time off and company holidays.
- Medical, dental, and vision coverage for employees and families.
- 16 weeks of paid parental leave for all parents.
- Fertility and family planning support.
- Early-detection cancer testing through Galleri.
- Flexible spending account and dependent FSA options.
- Health savings account for eligible plans with company contribution.
- Annual wellness and learning and development stipends.
- Company-wide and team off-sites.
- Company stock options and 401(k).
- Hybrid work in WRITER's San Francisco, New York City, or Seattle hubs.
- Full-time US employee benefits apply.
Tech Stack
Categories
About WRITER
WRITER builds an enterprise generative AI platform for creating, deploying, and supervising AI agents grounded in company data and powered by proprietary LLMs. It sells subscriptions and services to large organizations, with customers such as Accenture, Marriott, Uber, Mars, and Vanguard. Founded in 2020 and headquartered in San Francisco, the privately held company raised a Series C in 2024.