about 4 hours ago
Base Salary
$205k - $330k/yr
Responsibilities
- Design, train, evaluate, and ship ML systems for governance and security capabilities.
- Build supporting infrastructure including data pipelines and model serving.
- Make pragmatic build-vs-buy decisions for tools and systems.
- Set technical direction for the team's ML work and own the architecture.
- Recruit, mentor, and shape the growing team.
- Participate in a 24/7 on-call rotation for the Agentic Platform.
Requirements
- 5+ years of deep applied ML/AI expertise with a track record of shipping production systems.
- 8+ years of professional software engineering experience in backend or platform engineering.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Experience building and owning systems around ML models.
- Fluency with modern AI tools and understanding of when to use frontier models.
- Experience with LLM-based systems in production.
- Familiarity with the agent/MCP ecosystem.
- Ability to make decisions with incomplete information in an early-stage environment.
- Collaborative and low-ego approach to teamwork.
Benefits
- Freedom and flexibility to fit work around life.
- Designated quarterly Whaleness Days and end of year break.
- Home office setup for comfort while working.
- 16 weeks of paid parental leave after 6 months of employment.
- Technology stipend of $100 USD net/month.
- PTO plan encouraging time off for personal enjoyment.
- Training stipend for professional development.
- Equity in the growing start-up.
- Docker swag.
- Medical benefits, retirement, and holidays vary by country.
- Remote-first culture with offices in Seattle and Paris.