About the RoleWork on building and deploying ML systems that power a fast moving product. You will contribute across the full ML lifecycle and collaborate with product and engineering teams to ship models that make a real impact.
What You'll Do- Design, train, and evaluate machine learning models for production use cases.
- Implement end to end ML pipelines from data preprocessing to model serving and monitoring.
- Collaborate with product and engineering teams to translate business requirements into ML solutions.
- Debug and optimize model performance in production and iterate based on real world feedback.
- Write clean, maintainable code and contribute to ML infrastructure and tooling.
- Participate in code reviews and share knowledge with the broader team.
What We're Looking For- 3+ years of professional experience in machine learning or software engineering with hands on applied ML in production systems.
- Experience 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 languages and ML frameworks such as TensorFlow, PyTorch or scikit learn.
- Experience building, deploying and maintaining ML systems at scale including A/B testing, monitoring, data pipelines and MLOps tools such as cloud ML platforms and container technologies.
- Comfort with ambiguity and ability to prioritize impact in a dynamic setting.
LocationOn site at our San Francisco, CA headquarters. Primary location: San Francisco, California, United States.
