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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** Movable Ink - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Artificial Neural Networks, Computer Vision, Automation of Tests, Big Data, Program Optimization, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Tensorflow, Azure Machine Learning, Management of Software Versions, Workflow Management Systems, Google Cloud, Cloud Platform System, Pytorch, Apache Spark, Deep Learning, Scikit Learn, Information Technology, Data Analytics, Xgboost, Performance Monitor, Machine Learning Operations, Software Library - **Published:** August 30, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/j58we7ctpr ## About the Role * 5+ years of experience in AI/ML development, with a focus on architecting deep learning systems and sophisticated model pipelines * Master's degree or higher in Computer Science, Mathematics, Engineering, or related technical field * Proven track record of productizing breakthrough AI research into commercial-grade deep learning models * Deep expertise in neural network architectures, including transformer architecture, computer vision, natural language processing, and multimodal learning * Experience in model optimization and fine-tuning for high-performance inference at scale * Advanced proficiency in PyTorch or TensorFlow, with the ability to implement and adapt state-of-the-art research papers * Proficiency in Python along with experience with machine learning libraries and frameworks (e.g. scikit-learn, XGBoost,...) * Experience with large-scale data processing frameworks (we use Spark) and cloud computing platforms (we use Google Cloud Platform) is desirable * Experience designing and maintaining production ML systems at scale requiring complex workflow orchestration, artifact versioning, online/offline evaluation, performance monitoring, and A/B testing * Strong background in statistical modeling and predictive analytics for recommender systems and propensity scoring * Strategic understanding of the AI model lifecycle, from discovery and experimentation to production deployment and evaluation * Strong technical leadership skills and be able to guide and mentor junior engineers on the team * Able to communicate complex technical concepts to non-technical stakeholders and cross-functional teams * Work effectively in a fast-paced, deadline-driven environment and handle multiple priorities simultaneously * Be detail-oriented and have a strong commitment to delivering high-quality solutions * Be eager to continuously learn and stay up-to-date with the latest advancements in AI and related technologies, We seek out knowledge, cultivate our intuition, and always want to understand hidden connections. ## Description * Deploy robust, commercial-grade AI products that redefine client expectations. * Seamlessly integrate breakthrough innovations into our core AI models suite. * Engineer high-performance, scalable ML systems that maintain impeccable reliability under pressure. * Elevate our ML Platform with industry-leading standards for monitoring, orchestration, and automated testing. * Drive product adoption and client satisfaction by delivering sophisticated AI-driven insights. * Ship high-impact AI models that translate directly into tangible business growth. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [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) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)