> Markdown version of [/jobs/ext/1968831-machine-learning-engineer-python-golang-artificial-intelligence](https://www.wearedevelopers.com/jobs/ext/1968831-machine-learning-engineer-python-golang-artificial-intelligence). 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). --- # machine learning engineer python golang artificial intelligence - **Company:** RED DOOR RESTORATION - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $266,000.0 - **Contract:** Permanent contract - **Skills:** High-Level Architecture, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Recommender Systems, Tensorflow, Pytorch, Large Language Models, Virtual Agents, Golang - **Published:** August 7, 2026 - **Apply:** https://www.workingnomads.com/job/go/1775384/ ## About the Role * 10+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred. * Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in notifications relevance. * Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow. * Experience working with LLM in production and utilizing generative AI to augment recommendation systems * Proficiency in object-oriented programming (Python, Golang). * Big Plus: experience with state of the art model architectures * Big Plus: experience building production Agentic AI frameworks. ## Description * Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience. * Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team. * Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. * Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization. * Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges. * Mentor and guide senior and staff engineers in the team. * Partner closely with senior leadership and cross-functional org leads to shape long-term roadmaps, balancing immediate operational wins with strategic technical objectives. ## Related Videos - [MLOps and AI Driven Development](https://www.wearedevelopers.com/videos/347-mlops-and-ai-driven-development) - [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) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [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) - [Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes](https://www.wearedevelopers.com/videos/100356-super-scaling-for-the-super-bowl-how-to-survive-30-million-users-hitting-your-backend-in-30-minutes) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 210: AI Agents Are Go! Is MCP Dead? LLMs Crack Anonymity](https://www.wearedevelopers.com/magazine/709-dev-digest-210-ai-agents-are-go-is-mcp-dead-llms-crack-anonymity) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)