5 hours ago
San Francisco, CA, USAMid Level
Responsibilities
- Design, train, and evaluate machine learning models for production use cases.
- Build end-to-end ML pipelines covering data preprocessing, model serving, and monitoring.
- Translate business requirements into ML solutions with product and engineering teams.
- Debug and optimize model performance in production using real-world feedback.
- Write maintainable code and contribute to ML infrastructure and tooling.
- Participate in code reviews and share knowledge with the broader team.
Requirements
- 3+ years of professional experience in machine learning or software engineering with hands-on applied ML work in production systems.
- Strong fundamentals in model selection, feature engineering, evaluation, and validation.
- Proficiency in Python for machine learning development.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Experience building, deploying, and maintaining ML systems at scale, including data pipelines, monitoring, A/B testing, and MLOps tools.
- Experience with cloud ML platforms, Kubernetes, Docker, end-to-end ML pipelines, production deployment, and experimentation frameworks.
- Ability to work in a fast-moving product environment with rapid iteration and ambiguity.
Benefits
- On-site work in San Francisco, California, United States.
- Compensation details are provided by the employer upon request.