> Markdown version of [/jobs/ext/3016860-software-engineer-ii-machine-learning](https://www.wearedevelopers.com/jobs/ext/3016860-software-engineer-ii-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II, Machine Learning - **Company:** Poshmark, Inc. - **Location:** Redwood City, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Airflow, Database Applications, Machine Learning, MongoDB, RabbitMQ, Redis, Tensorflow, Software Engineering, SQL Databases, Pytorch, Flask (Web Framework), Apache Spark, Scikit Learn, Kubernetes, Apache Kafka, Build Tools, Machine Learning Operations, Kibana, Docker, Service Stack, Amazon Redshift - **Published:** September 20, 2026 - **Apply:** https://www.dice.com/job-detail/5ae6d253-3d7e-49de-8930-f657cc528d3f ## About the Role * 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. Technologies we use: * Flask, Docker, Kubernetes * Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis * sklearn, pyTorch, Tensorflow, Spark * Mlflow, Sagemaker, Kibana, Airflow ## Description * Build tools and infrastructure to democratize ML * Productionizing ML models in collaboration with the Data Science and other Engineering teams. * Maintain and support existing platforms and evolve to newer technology stacks and architectures. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Debug a Kubernetes Operator](https://www.wearedevelopers.com/videos/487-debug-a-kubernetes-operator) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Add Location-based Searching to Site with ElasticSearch](https://www.wearedevelopers.com/videos/77-add-location-based-searching-to-site-with-elasticsearch) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)