> Markdown version of [/jobs/ext/4258767-machine-learning-engineer-level-4](https://www.wearedevelopers.com/jobs/ext/4258767-machine-learning-engineer-level-4). 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, Level 4 - **Company:** Snap Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $173,000.0 - $259,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Content Analysis, Machine Learning, Tensorflow, Pytorch, Apache Spark, Generative AI, Scikit Learn, Information Technology - **Published:** October 3, 2026 - **Apply:** https://dejobs.org/x/x/2B3191DE480444C4A9A2ED18FA8533E1/job/ ## About the Role * Strong understanding of machine learning approaches and algorithms * Able to prioritize duties and work well on your own * Ability to work with both internal and external partners * Skilled at solving open ambiguous problems * Strong collaboration and mentorship skills * Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks. * Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices, * Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience * 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field * Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning, * Advanced degree in computer science or related field * Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks * Experience working with machine learning, ranking infrastructures, and system design