Poshmark
Sr. Engineer, Machine Learning
at
Poshmark
Job Description Our mission at Poshmark is to build a world‑class machine learning platform that brings value out of data for us and our customers. We aim to democratize data science and machine learning, support explosive growth, and use ML to drive value across the chain – Search, personalization, fraud detection, catalog digitization, and more.
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 robustness and reliability of ML services at scale.
Maintain and evolve current solutions while incorporating newer technologies.
Communicate complex concepts clearly through excellent written, verbal, and presentation skills.
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.
Bachelor's or Master's in Computer Science, Statistics, or related field.
Strong CS fundamentals with ability to write algorithms with ease.
Solid understanding of Data Science and ML fundamentals – Regression, Classification, tree‑based approaches, neural networks, and sequence‑based models.
Experience with at least one ML model: LLMs, GNN, deep learning, logistic regression, gradient‑boosting trees, etc.
Excellent understanding of the ML lifecycle.
Good understanding of system architecture and 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 databases.
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.
Salary Range $151,194.00 - $214,587.00 per year.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Retail Apparel and Fashion
Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
View Poshmark's Job Applicant Privacy Policy here.
#J-18808-Ljbffr
at
Poshmark
Job Description Our mission at Poshmark is to build a world‑class machine learning platform that brings value out of data for us and our customers. We aim to democratize data science and machine learning, support explosive growth, and use ML to drive value across the chain – Search, personalization, fraud detection, catalog digitization, and more.
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 robustness and reliability of ML services at scale.
Maintain and evolve current solutions while incorporating newer technologies.
Communicate complex concepts clearly through excellent written, verbal, and presentation skills.
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.
Bachelor's or Master's in Computer Science, Statistics, or related field.
Strong CS fundamentals with ability to write algorithms with ease.
Solid understanding of Data Science and ML fundamentals – Regression, Classification, tree‑based approaches, neural networks, and sequence‑based models.
Experience with at least one ML model: LLMs, GNN, deep learning, logistic regression, gradient‑boosting trees, etc.
Excellent understanding of the ML lifecycle.
Good understanding of system architecture and 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 databases.
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.
Salary Range $151,194.00 - $214,587.00 per year.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Retail Apparel and Fashion
Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
View Poshmark's Job Applicant Privacy Policy here.
#J-18808-Ljbffr