> Markdown version of [/jobs/ext/2722368-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2722368-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). --- # Machine Learning Engineer - **Company:** Liftoff - **Location:** Los Angeles, CA, United States (Remote available) - **Salary:** $235,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** Code Review, Machine Learning, Information Technology, Software Coding - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/machine-learning-engineer-liftoff-7832208 ## About the Role * PhD in Computer Science, Machine Learning, Economics, or a related field. * Industry experience applying economics or machine learning to large scale problems. * Solid engineering and coding skills. * Excellent team communication and collaboration skills. * Experience with ad tech is a solid plus. ## Description * Build statistical models and production systems to balance advertiser performance with business goals. * Tune optimization parameters, measure internal competition, and model dynamic environments. * Design and run experiments to validate theories underpinning the mobile ad tech economy. * Develop applications in the areas of advertiser budget retention and growth, optimal margin allocation, and bidding innovations. * Collaborate with a team of world-class engineers with diverse backgrounds as well as peers across the broader company (e.g. Operations, GTM). * Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences. * Be part of an "engineering excellence" culture through state-of-the-art tools, risk-driven testing, explainable systems, and design/code review., We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. ## Related Videos - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Unleashing the Power of Developers: Why Cybersecurity is the Missing Piece?!?](https://www.wearedevelopers.com/videos/712-unleashing-the-power-of-developers-why-cybersecurity-is-the-missing-piece) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) ## Related Articles - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)