> Markdown version of [/jobs/ext/290004-senior-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/290004-senior-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 Machine Learning Engineer - **Company:** Onward Search - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $166,400.0 - $176,800.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Automated Storage and Retrieval Systems, C++ (Programming Language), Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Machine Learning Operations, Multiaccess Edge Computing, Data Pipelines - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=78398f591fe52e56 ## About the Role Do you have experience in TensorFlow?, * Proficiency in Python, with additional experience in Scala, Java, or C/C++. * Solid engineering skills with the ability to develop performant data pipelines on distributed systems. * 2-5 years of experience working with machine learning lifecycle tasks including training, deployment, and monitoring. * Familiarity with vector databases, retrieval systems, and ANN tuning, with Vespa experience preferred. * Hands-on experience using frameworks such as TensorFlow or PyTorch. ## Description Our client, a leading e-commerce platform, is seeking a Senior Software Engineer, Machine Learning to support a dynamic team. This remote role within the U.S. offers an exciting opportunity to work on innovative ad systems powered by cutting-edge machine learning techniques. The position is classified as Temp-10-26 weeks in duration., * Develop and maintain scalable machine learning models to enhance ad relevance and system efficiency. * Collaborate with cross-functional teams to improve ad candidate retrieval and user engagement metrics. * Implement, monitor, and optimize ML systems in production environments. * Contribute to data pipeline architecture to support machine learning workflows at scale. * Troubleshoot and debug issues within live machine learning production systems. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Making neural networks portable with ONNX](https://www.wearedevelopers.com/videos/301-making-neural-networks-portable-with-onnx) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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)