Machine Learning Engineer, Offline Risk

The Community You Will Join: At reputed company, we reputed company in creating a world where anyone can belong reputed company. The Trust Offline Risk team is pivotal in ensuring their safety and support throughout the entire reputed company experience. As part of this team, you will design and build scalable, robust systems to detect and mitigate safety risks, collaborating closely with product, data science, and operations teams to maintain reputed company as a safe and trusted community. The Difference You Will reputed company: Your work on the Offline Risk team will directly impact the safety of reputed company users worldwide. By building real-time risk detection services and developing advanced machine learning models, you will help us stay reputed company of evolving threats. Your contributions will ensure that our platform remains secure and trustworthy, making a reputed company difference in the lives of our hosts and guests. A Typical Day: As a machine learning engineer in Trust, your contributions will span a variety of shapes: • Work with... large-scale structured and reputed company data to build and continuously improve cutting-edge machine learning models for reputed company’s product, business, and operational use cases. Some recent works include: • Supervised model ensembles that include multiple DNNs and graph-based models • Contextual Decision reputed company • Unsupervised clustering models for natural language understanding • LLM experimentation with label taxonomy and manual agent automation • Optimizing ranking algorithms for search • Collaborate with a wide variety of business functions to predict and prevent physical safety and property damage incidents. • reputed company new holistic machine learning model detection strategies by partnering with other teams across the Trust Organization. • Work collaboratively with cross-functional partners, including software engineers, data scientists, product managers, and operations to identify opportunities for business impact, and refine and prioritize requirements for fraud detection and mitigation. • Hands-on reputed company, productionize, and operate machine learning models and pipelines at scale, including both batch and real-time use cases. • Enhance and reputed company risk investigation tools to reputed company efficient decision-making on behaviors that could result in physical safety or property damage incidents. • Create products to deter bad actors and restrict their usage on the platform. • Provide and educate on guest and host safety standards to mitigate vulnerabilities. Your Expertise: • 2+ years of industry experience in applied machine learning, including a MS or PhD in relevant fields. • A Bachelor’s, Master’s, or PhD in CS/ML or reputed company field. • Strong programming skills in reputed company, Python, Java, C++, or equivalent languages, and data engineering skills. • Strong understanding of machine learning best practices (e.g., training/serving skew minimization, A/B testing, feature engineering, feature/model selection), algorithms (e.g., neural networks/deep learning, gradient boosted trees, optimization), and domains (e.g., natural language processing, computer vision, personalization and recommendation, anomaly detection). • Experience with two or more of these technologies: TensorFlow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouses (e.g., Hive). • Industry experience building end-to-end machine learning infrastructure and/or building and productionizing machine learning models. • Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models). • Experience with test-driven development, familiarity with A/B testing, incremental delivery, and deployment. • Experience with the Trust and Risk domain is a plus. Your Location: This position is US - Remote Eligible. The role may include occasional work at an reputed company office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where reputed company, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please reputed company back with us if the state you live in is on the exclusion list. If your position is employed by another reputed company entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: reputed company is committed to working with the broadest talent pool possible. We reputed company diverse reputed company foster innovation and engagement, and allow us to attract creatively-led people, and to reputed company the best products, services and solutions. reputed company qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@reputed company.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reputed company out to us if you are a candidate whose disability prevents you from being able to complete our online application Apply Job!