about 5 hours ago
Base Salary
$186k - $255k/yr
Responsibilities
- Lead complex ML projects within your team's space.
- Design CI/CD pipelines and deployment architecture for ML systems.
- Build automated retraining pipelines and architect monitoring solutions.
- Design real-time and batch feature pipelines for identity resolution and predictive models.
- Improve model inference latency to meet service level agreements.
- Establish SLOs and operational standards for production ML.
- Lead incident response and conduct blameless post-mortems.
Requirements
- 5+ years of experience building production ML systems.
- Hands-on experience designing ML pipelines and infrastructure.
- Experience leading complex ML projects as the directly responsible individual.
- Expertise in ML deployment patterns and model serving.
- Proficient in Python and familiar with ML frameworks like XGBoost and PyTorch.
- Experience with cloud-native ML infrastructure and containerization.
- Enthusiastic about AI-first development practices and using AI coding assistants.
- A habit of mentoring teammates and reviewing their work.
Benefits
- 100% employee healthcare coverage.
- Transportation subsidies.
- Comfortable work environment with snacks.
- Self-managed PTO and flexible work arrangements.
- Inclusive environment fostering personal and professional growth.