13 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 in collaboration 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 experience in production systems.
- Experience working in startup or fast-moving product environments with rapid iteration cycles.
- Strong fundamentals in model selection, evaluation, feature engineering, and validation.
- Proficiency in Python or similar programming languages and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience building, deploying, and maintaining ML systems at scale, including data pipelines, monitoring, A/B testing, and MLOps tools such as cloud ML platforms and container technologies.
- Ability to work through ambiguity and prioritize impact in a dynamic environment.
Benefits
- On-site work at the company’s San Francisco, California headquarters.