> Markdown version of [/jobs/ext/556075-senior-staff-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/556075-senior-staff-machine-learning-engineer). 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). --- # Senior Staff, Machine Learning Engineer - **Company:** Poshmark, Inc. - **Location:** Redwood City, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Big Data, Distributed Systems, Python (Programming Language), Machine Learning, MongoDB, Tensorflow, Software Engineering, Pytorch, Apache Spark, Keras, Druid, Software Coding, Jenkins, Amazon Redshift - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=609f9fa0d279856e ## About the Role Do you have experience in Tooling?, * Strong background in Machine Learning with deep understanding of algorithms and modeling techniques * 6+ years of overall software development experience with at least 4+ years of industry experience applying Machine Learning to concrete problems * Great coding skills and strong software development experience with Big Data technologies & Machine Learning frameworks like SparkML, TensorFlow, PyTorch, Keras * Understanding of distributed systems, and large scale engineering challenges is plus. Technologies we use: * Scala, Python * MongoDB, Redshift, Druid * Airflow, Jenkins * Spark, SparkML, Kinesis ## Description We are looking for exceptional, creative and passionate Machine Learning engineers to join our ML and Big Data Team. You will be responsible for building and owning the next-generation of algorithms and systems that would have critical business impact for Poshmark and improve the user experience for our millions of users, * Explore large datasets, research and develop algorithms/models to solve interesting business problems. * Design and code highly scalable, machine learning applications processing large volumes of data. * Collaborate with multiple teams - data science, business, engineering and help deliver Machine learning based Data products across the company. * Develop best practices and tools to enable robust delivery of features * Design and improve architecture in order to ensure horizontal scalability at all layers ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [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) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)