Machine Learning Engineer (Mid-Level)

Role details

ABOUT THE ROLE Work 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. LOCATION On site at our San Francisco, CA headquarters. Primary location: San Francisco, California, United States.