Poshmark
Software Engineer II, Machine Learning
US California (Redwood City) - Office · Mid
Sponsorship not specifiedDetected 50 days ago
FlaskSQLMongoDBRedisRedshiftDockerKubernetesKafkaRabbitMQMachine LearningTensorFlowPyTorchscikit-learnSparkAirflowData ScienceCollaboration
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.
- Our AI / Machine Learning team is a central player in the Poshmark organization.
Responsibilities
- Build tools and infrastructure to democratize ML
- Maintain and support existing platforms and evolve to newer technology stacks and architectures.
- Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story.
Skills
- 2-3 years of relevant software engineering experience with data intensive applications
- Good understanding of data science concepts and machine learning lifecycle
- Good understanding of spark and sql and prior experience with writing backend apis
- Flexible and open to trying out newer technologies and adopting them as and when needed.
- Flask, Docker, Kubernetes
- Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis
- sklearn, pyTorch, Tensorflow, Spark
- Mlflow, Sagemaker, Kibana, Airflow
Benefits
- Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers.
- The Machine Learning Engineering team at Poshmark is looking for an experienced machine learning engineer to take care of Poshmark's requirement to take machine learning models with varying requirements to production..
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This listing is sourced directly from Poshmark's careers page and normalized into a canonical job model.