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Sr. Engineer, Machine Learning
- Redwood City, California, United States
- Redwood City, California, United States
Über
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 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
Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner
Stay updated with the latest developments in data science and machine learning
Desired Skills & Experience:
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.
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 lifecycle
Good understanding of system architecture. Have knowledge of big data technologies – streaming architecture, data pipelines, etc.
Experience with Python, SQL, Java or Scala
Good 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
Our Techstack:
Pytorch, Tensorflow, Sklearn
Flask, Fastapi, Gunicorn, Quarkus
MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog
Docker, Kubernetes, Jenkins
Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus
#J-18808-Ljbffr
Sprachkenntnisse
- English
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