Sr. Engineer, Machine Learning

Confidence can sometimes hold us back from applying for a job. Here’s a secret: there's no such thing as a "perfect" candidate. Poshmark is looking for exceptional people who want to make a positive impact through their work and help create an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day.

Job Description:

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).

• 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

• 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

• Pytorch, Tensorflow, Sklearn

• Flask, Fastapi, Gunicorn, Quarkus

• MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog

• Docker, Kubernetes, Jenkins

• Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus

Salary Range:

Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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