Sr. Engineer, Machine Learning

About PoshmarkPoshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).Responsibilities:Manage the entire ML lifecycle from data collection to deployment and monitoringCollaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML modelsWrite and optimize code for production environments, ensuring the robustness and reliability of ML services at scaleManage and support current solutions while evolving them to incorporate newer technologiesStrong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple mannerStay updated with the latest developments in data science and machine learningDesired Skills & Experience:4+ years of experience applying Machine Learning to concrete problems at large scaleBachelors or Masters in Computer Science, Statistics, or related fieldStrong CS fundamentals. Should be able to write algorithms with ease.Solid understanding of Data Science and ML fundamentals – Regression, Classification, Tree-based approach, Neural network, and sequence-based models.Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.Should have excellent understanding of ML lifecycleGood understanding of system architecture. Have knowledge of big data technologies – streaming architecture, data pipelines, etc.Experience with Python, SQL, Java or ScalaGood to Have:Big data systems – Spark, EMR, S3, AirFlowProduction experience with LLMs and prompt engineeringExperience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBsOur Techstack:Pytorch, Tensorflow, SklearnFlask, Fastapi, Gunicorn, QuarkusMLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, DatadogDocker, Kubernetes, JenkinsRedis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, MilvusCompensation Range: $151,194 - $214,587LocationRedwood City, California, USAEmployment TypeFull timeDepartmentAll DepartmentsResearch & DevelopmentTechnologyML & Data Engineering TeamCompensation$151,194 – $214,587The base pay range listed for this position may span multiple levels of experience, and final compensation is determined by a variety of job-related factors, including relevant experience, demonstrated expertise, and internal equity.The posted range applies to base salary only and does not include additional elements of total compensation, which may include equity, performance-based incentives, and a comprehensive benefits package.