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Poshmark is a leading social marketplace for new and secondhand styles for women, men, kids, home, and more. By combining the human connection of physical shopping with the scale, ease, and selection benefits of ecommerce, Poshmark makes buying and selling simple, social, and fun. 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 digitisation 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 Why Poshmark? Poshmark is a leading social marketplace for new and secondhand style for women, men, kids, pets, home, and more. By combining the human connection of physical shopping with the scale, ease, and selection benefits of ecommerce, Poshmark makes buying and selling simple, social, and sustainable. Its community of more than 70 million registered users across the U.S., Canada, and Australia is driving the future of commerce while promoting more sustainable consumption. For more information, please visit www.poshmark.com, and for company news and announcements, please visit investors.poshmark.com. You can also find Poshmark on Instagram, Facebook, Twitter, Pinterest, and YouTube. About Us
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.