> Markdown version of [/jobs/ext/4257691-software-engineer-i-26-23722](https://www.wearedevelopers.com/jobs/ext/4257691-software-engineer-i-26-23722). 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). --- # Software Engineer I- # 26-23722 - **Company:** US Tech Solutions, Inc. - **Location:** Bell Gardens, CA, United States (Remote available) - **Experience:** Starter - **Salary:** $104,000.0 - $166,400.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Engineering, Github, Python (Programming Language), Machine Learning, Open Source Technology, Software Engineering, Pytorch, Deep Learning, Information Technology, Codebase, Multiaccess Edge Computing, Software Coding - **Published:** October 31, 2026 - **Apply:** https://www.juju.com/job/16_3178fc45 ## About the Role * 0-1 years of deep learning experience working with codebases supporting cutting-edge AI/ML models. * Proficiency in ML Development: Experience developing machine learning algorithms or infrastructure in Python/PyTorch and/or C/C++. Core Education: Degree in Computer Science, Computer Engineering, or a relevant technical field. Nice to Have Skills * Demonstrated Software Engineering Track Record: Proven experience via professional work, coding competitions, or widely used open-source/GitHub contributions. Education * Bachelor Degree in Computer Science, Computer Engineering or relevant Technical field is required. * PHD or advanced degree preferred ## Description * Client is seeking a strong System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. * Responsibilities include working with deep learning codebases that support training cutting-edge AI/ML models creating high quality results, and bringing the latest research advancements to our products for connecting billions of users. * The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities. Key Projects / Day-to-Day Responsibilities * Engineer, design, implement, and improve cutting-edge machine learning systems and tools for enabling research * Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects * Write clean and robust machine learning code