Related skills
dynamodb golang java postgresql python📋 Description
- Design, develop, and maintain ML models and AI services for core features.
- Lead end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment.
- Own ML components end to end: experimentation, architecture, deployment, monitoring.
- Drive improvements in model performance, reliability, and scalability via rigorous experimentation.
- Design and oversee the integration of ML models into production for low-latency inference.
- Define monitoring for model performance and data quality; lead debugging and incidents.
🎯 Requirements
- Bachelor's degree in CS, CE, Software Engineering, or related field; 5+ years experience.
- Proficiency with Java, Kotlin, GoLang, Python, or Scala.
- Experience with backend service frameworks and RESTful APIs.
- Experience with PostgreSQL, MySQL, Redis, or DynamoDB.
- Experience with distributed systems, logging/monitoring tools, and automated testing.
🎁 Benefits
- Challenging, high-impact work to grow your career.
- Performance-based compensation with equity, bonuses, and 401(k) matching.
- 100% paid health insurance for employees; 90% for dependents.
- Lifestyle wallet for wellness, learning, and more.
- Life and disability insurance, fertility benefits, mental health support.
- Time off to recharge including holidays and parental leave.
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