Poshmark
Sr. Engineer, Machine Learning
Redwood City, California, USA · Senior
Sponsorship not specifiedDetected 143 days ago
PythonJavaScalaFastAPIFlaskAlgorithmsSQLMongoDBRedisRedshiftDatabricksVector DatabasesDockerKubernetesJenkinsGrafanaDatadogKafkaRabbitMQMachine LearningDeep LearningTensorFlowPyTorchscikit-learn
About the role
- ABOUT POSHMARK Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.
- 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.
Responsibilities
- Manage the entire ML lifecycle from data collection to deployment and monitoring
- Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models
- Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale
- Manage and support current solutions while evolving them to incorporate newer technologies
- Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story.
Requirements
- Have knowledge of big data technologies - streaming architecture, data pipelines, etc.
- Experience with Python, SQL, Java or Scala
Nice to have
- Big data systems - Spark, EMR, S3, AirFlow
- Production experience with LLMs and prompt engineering
- Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs
- Pytorch, Tensorflow, Sklearn
- Flask, Fastapi, Gunicorn, Quarkus
- MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog
- Docker, Kubernetes, Jenkins
- Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus
Skills
- 4+ years of experience applying Machine Learning to concrete problems at large scale
- Bachelors or Masters in Computer Science, Statistics, or related field
- Strong CS fundamentals. Should be able to write algorithms with ease.
Benefits
- Stay updated with the latest developments in data science and machine learning
- Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
- Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers.
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This listing is sourced directly from Poshmark's careers page and normalized into a canonical job model.