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# Machine Learning Engineer (L3)

- **Company:** Snap Inc.
- **Location:** UK
- **Experience:** Experienced
- **Contract:** Internship / Graduate position
- **Skills:** A/B Testing, Computer Vision, C++ (Programming Language), Software Code Optimization, Computer Programming, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Tensorflow, Software Engineering, Multimodal Learning, Pytorch, Deep Learning, Model Validation, Information Technology, Free and Open-Source Software, Machine Learning Operations, Data Pipelines
- **Published:** November 4, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-snap-inc-10665027

## About the Role

* Strong understanding of machine learning principles, algorithms, and deep learning foundations.
 * Solid knowledge of mathematics, including linear algebra, probability, statistics, and optimisation.
 * Strong problem-solving skills and the ability to translate technical challenges into practical solutions.
 * Excellent verbal and written communication skills, with attention to detail.
 * Ability to work independently on well-defined technical problems and seek guidance when needed.
 * Ability to contribute to larger technical initiatives by owning well-scoped features, models, or components.
 * Passion for machine learning, continuous learning, and building impactful products., * Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field, or equivalent practical experience.
 * Strong programming skills in Python or C++.
 * Strong foundations in machine learning, demonstrated through hands-on projects, research, internships, or professional experience.
 * Experience with machine learning frameworks and libraries such as PyTorch, TensorFlow, or equivalent tools.
 * At least 3 years of machine learning experience after completing a bachelor's degree, or a master's degree in a relevant technical field., * Experience developing, training, evaluating, or deploying machine learning models in real-world applications.
 * Familiarity with one or more applied ML domains, such as computer vision, natural language processing, recommendation systems, ranking, generative AI, or multimodal learning.
 * Experience with deep learning architectures and modern ML techniques.
 * Familiarity with ML infrastructure, data pipelines, model optimization, or production inference systems.
 * Experience with model evaluation, experimentation, and performance analysis.
 * Hands-on experience with ML projects, research, open-source contributions, or production ML systems.
 * Ability to proactively learn new concepts, adapt to emerging technologies, and apply them to practical problems.

## Description

* Develop, deploy, and improve machine learning models and systems that power products and experiences used by millions of Snapchatters.
 * Design, implement, and evaluate ML solutions across areas such as computer vision, deep learning, recommendation systems, ranking, generative AI, and other applied machine learning domains.
 * Build scalable and efficient ML pipelines for data processing, model training, evaluation, and inference.
 * Translate research ideas and product requirements into practical ML solutions, delivering well-scoped features and improvements with guidance from senior engineers.
 * Collaborate with Software Engineering, Product, Data Science, and other cross-functional teams to integrate ML models into production systems.
 * Conduct experiments, analyse model performance, and iterate on solutions using offline evaluations, A/B testing, and user feedback.
 * Stay up-to-date with advancements in machine learning research, frameworks, and tools, and explore opportunities to apply relevant techniques to Snap's products.