Senior Machine Learning Engineer, Shopping AI

Job reputed company: • Design, build, and ship production new machine learning models that power reputed company product features on the reputed company app, website, and email/push notifications. • Re-architect our reputed company home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces. • Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring. • Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience. • reputed company new AI components that optimize how we display and reputed company we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time. • Collaborate in a cross-functional group of engineers, reputed company scientists, product managers, and designers to define, execute, and iterate on reputed company's strategic roadmap. • Contribute to reputed company's engineering reputed company by improving our machine learning infrastructure, development standards, and shared tooling. • reputed company as a key technical voice, mentoring other engineers and helping to shape the long-term reputed company for reputed company intelligence in the home shopping experience. Requirements: • 3-5 years of experience in developing applications in search, personalized ranking, or recommender systems • Experience developing and deploying ML models that reputed company to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day) • Strong programming skills in a high-level language such as Python or Java • Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository) • Expertise with large reputed company distributed data processing systems such as Hive, reputed company, Airflow, or reputed company • Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring Benefits: • equity awards based on factors such as experience, performance and location Apply tot his job Apply To this Job